Ad-Filtering Dev Summit 2025 Recap

Today, we’d like to tell you about Ad-Filtering Dev Summit 2025, which we organized together with Ghostery and eyeo (developer of Adblock Plus) back in October. Once again, ad blockers came together to create a welcoming space for the community — developers, browser representatives, privacy advocates, and even people from the advertising world who joined the discussion. This year, the summit took place in Cyprus, in our hometown of Limassol, at a beautiful beachfront hotel.

Watch the video to catch the vibe of the event:

This year, AI was the star of many conversations (naturally). Different sides of the community are using it in various ways — from workflow tests to ad-blocking improvements to new browser functionalities, and more. One of the best parts was how diverse our talks were: some highly technical and packed with specifics, some on the lighter side… and some, despite staying on topic, you could nearly mistake for a stand-up session!

We were lucky to have such truly outstanding speakers, both long-time summit regulars and newcomers who brought fresh perspectives.

And if you’d like to know more about the speakers and the specifics of their talks, follow us along as we walk through each presentation one by one.

AdGuard speakers at AFDS

Let’s start by taking a closer look at the presentations from the speakers representing AdGuard.

System-wide ad blocking on Apple Devices

Andrey Meshkov, Founder, Owner and CTO of AdGuard:

Apple has recently introduced a new framework for system-wide URL filtering. Unlike traditional DNS filtering, it can filter full URLs while still preserving user privacy. Naturally, we at AdGuard were eager to be among the first adopters.
In this talk, I’ll walk you through how this new framework works, explain how it can be leveraged by ad blockers, and share our experience implementing it in our products.

Join Andrey as he walks you through Apple’s new privacy-preserving system-wide URL filtering framework and how AdGuard has already implemented it.

There’s also a text version of this presentation — you can read the article based on it here.

Light-side UX: how AdGuard communicates privacy

Sofia Orlova, UX writer at AdGuard:

"Privacy and ad-blocking tools involve complex technologies but are used by people with varying levels of expertise and different linguistic backgrounds. The challenge is to communicate clearly, without confusing users or oversimplifying. I’ll explain how we align language with user context, build layered interactions, and adapt terminology across platforms and audiences. Real examples will show how consistent communication supports both usability and user trust."

Watch as Sofia outlines how AdGuard approaches UX writing and interface design to make privacy accessible:

Inside AGLint v4: A “developer – contributor – user” perspective on linting adblock filters

Elizaveta Egorova, developer at AdGuard and filter list maintainer/contributor to the project and Dávid Tóta, developer at AdGuard and main developer of AGLint:

In this talk, we'll explore the evolution of AGLint, a powerful linting[1] tool designed specifically for adblock filter lists. AGLint v4 introduces a fully rearchitected linter engine, a faster and more flexible AST walker[2], improved parser support, a robust new code fixer API, and a redesigned linter rule interface that greatly improves extensibility. This talk brings together the voices of a developer and a filter maintainer, giving a complete view of AGLint's evolution. Contributor and end user perspectives will also offer valuable insights into how the tool performs in real-world workflows.

[1] Linting is the process of automatically checking your code for potential problems, such as syntax errors, bugs or suspicious constructs, style or formatting issues, deviations from coding standards. A linter is the tool that performs this check.
[2] AST walker – component in a linter that can “walk through” an AST (Abstract Syntax Tree) in a more adaptable, powerful way

Watch Elizaveta and Dávid presenting the major technical changes in v4, sharing the motivations behind the rewrite and the key architectural decisions that shaped the new engine, and reflecting on using AGLint in practice:

Beyond filter lists: using LLMs to rethink ad blocking

Maxim Topciu, Browser Extensions Team Lead at AdGuard:

For years, ad blocking has relied on filter lists. This talk explores how Large Language Models (LLMs) can help us rethink this foundation, moving beyond simple rules to blocking ads based on their meaning and appearance. I will share my ongoing experiments and cover:

  • Semantic ad-blocking: How LLMs can enable a new class of filter rules, moving from keyword matching (:contains()) to true semantic understanding (:contains-meaning()) with embeddings.
  • Multimodal detection: I'll demonstrate how LLMs analyze both text and images together for more robust detection of visual and native advertising.
  • Automating annoyances: A look at how LLMs can go beyond ad blocking to handle related annoyances, like automatically navigating and rejecting cookie consent forms.
    I’ll conclude with a picture of a practical future of this LLM-driven approach, comparing specialized models against the powerful, general-purpose LLMs being built directly into our browsers.

Join Maxim on a journey through how filtering works today, past machine-learning attempts, his own experiments, and where this approach is headed next:

There’s also a text version of this presentation — you can read the article based on it here.

Browser panel

The browser panel is one of the key sessions at AFDS, bringing together experts from leading browsers to discuss the future of web privacy, content control, and the challenges ahead. This year’s topics include lessons from Manifest V3, cross-browser API alignment through WECG, the relationship between built-in privacy features and third-party blockers, and how privacy tools must evolve in an AI-driven browsing world.

Watch the discussion featuring Devlin Cronin (Technical Lead and Manager at Google), Anton Lazarev (Senior Adblock Research Engineer at Brave), Tina Chenska (QA Engineer at Opera), Rob Wu (Browser Engineer at Mozilla), Sam Macbeth (Privacy Engineer at DuckDuckGo) and moderated by Krzysztof Modras (Director of Engineering and Product at Ghostery).

Filter panel

Another highlight of the summit, filter panel is a dedicated discussion session focused on everything related to filter lists — the rulesets used by ad blockers and content blockers.

This year’s panel dives into the state of filtering: the impact of Manifest V3 and the decline of MV2, how MV3 has changed real-world workflows, and where it still needs improvement. Speakers discuss the shift toward network- and DNS-level filtering, the growing issue of filter-list bloat and how to measure list effectiveness, as well as strategies for handling breakages and keeping the web usable.

Don’t miss this discussion with Ryan Brown (FanboyNZ) – prominent EasyList maintainer, Peter Lowe – filter list author with 27+ (!) years experience, Dávid Tóta – Hufilter maintainer, software developer at AdGuard, Elizaveta Egorova – software developer and maintainer of AdGuard filters, and Sam Macbeth – privacy engineer at DuckDuckGo. Moderated by Andrey Meshkov, CTO & Founder of AdGuard.

More AFDS presentations

Of course, there were many other exciting presentations from the participants — let’s take a look at them!

Ad blockers’ perspective

Watch the talks from our co-hosts and fellow ad blockers.

GhosteryTrackerDB

Philipp Claßen, Director of Data Engineering at Ghostery, told us about TrackerDB – an open-source database that identifies trackers and their owners from URLs/requests. The talk explains how it works, how to use it in other projects, and how everyone can contribute.

How do we know it's working? Proving ad blockers’ production health

Aga Czyzewska, Engineering Lead in Extensions Host Team at eyeo, explained how eyeo monitors the health and reliability of its ad-blocking extension in production, collects privacy-preserving crash data. She also shared some real examples of how those systems help them keep the extension reliable.

Porting desktop Adblock Plus to mobile Safari

Toni Feliu, Software Development Engineer in Test at eyeo, walked us through migration of the AdBlock Plus for Safari to Manifest V3: why ABP for Safari transitioned from legacy Safari content blockers to Manifest V3, the challenges faced during the migration, and lessons learned for iOS implementation.

Browsers’ perspective

And here we have exciting updates from the browsers' representatives.

What’s new in Chrome

A summit’s classics! A multi-presenter update from the Chrome team covering what has changed in Chrome over the past year. This talk is by Oliver Dunk, Developer Relations Engineer at Google and Devlin Cronin, Technical Lead and Manager at Google.

DuckDuckGo joined us for the first time! Maxim Tsoy, Senior Software Engineer, explains how DuckDuckGo moved from manual rules to an AI-driven system that automatically handles cookie banners at scale, achieving rapid coverage growth with minimal maintenance.

Agents need ad blocking, too

Anton Lazarev, Staff Adblock Engineer at Brave, gives insights at Brave's work pushing ad blocking into the AI era: how filter lists will continue to remain relevant, how they'll become cybernetically enhanced, and a sneak peek at their next evolution for fully headless browsing. “If you outsource the dirty work of looking at websites to your agentic browser, do you even need an adblocker at all?“

Enhancing ad blocker quality assurance using AI

Tina Chenska, QA Engineer at Opera, explains how AI is transforming ad-blocker testing in Opera — from spotting visual page changes to automating test-scenario discovery. She covers practical integration methods, common pitfalls, and lessons learned, showing how AI can boost accuracy, speed, and overall testing efficiency.

Filterlist maintainers perspective

The OGs of ad filtering share their stories and insights — from decades of blocklist maintenance to cutting-edge tooling.

Tales from blocklist maintenance

Peter Lowe, DNS Abuse Ambassador at FIRST and long-time filter list pioneer, delivers the first-ever ad-blocking stand-up, packed with anecdotes from 27 years of blocklist maintenance experience.

Automating ad commits

Ryan Brown, filterlist author at Brave shares what he is currently working on, namely tooling to automate and improve coverage in Easylist using NWSS.js.

Antivirus’ perspective

Malwarebytes are back this year with more insights to share.

Beyond the surface: uncovering hidden threats in online ads

Mohamed Elgendi, Senior Software Engineer at Malwarebytes explains how malicious code can lurk inside ad images (invisible to the naked eye). He demonstrates how attackers use steganography to bypass defenses — and how modern ad security can fight back.

Academia’s perspective

It’s great that the summit brings together not only people from various companies but also researchers, academics, and independent experts, and it’s truly great to see them join us and present their work — let’s have a look at their presentations.

Covert web-to-app tracking via localhost on Android

Aniketh Girish, PhD student at IMDEA Networks presents his research showing that Android apps and web pages can secretly communicate via localhost, breaking isolation. The talk covers how it works, privacy risks, measurements, industry responses, and recommendations for platform-level defenses, highlighting the need to rethink localhost permissions, IPC trust models, and cross-context auditing to prevent similar abuses in the future.

Stealthy fingerprinting users with personalized blocking rules

Saiid El Hajj Chehade, PhD Candidate from EPFL, reveals how users who enable extra, aggressive filter lists may actually become easier to track. He then demonstrates four attacks that can identify active filter lists and offers recommendations to defend against this form of fingerprinting.

Filtering bad ads using LLM-assisted adblocking

Ritik Roongta, PhD Student at New York University, explains why blanket ad blocking breaks sites while ad tracking endangers users. He highlights that current standards focus on aesthetics, not harmful content, and outlines the plan to improve these standards by using LLMs to evaluate ad images and hold ad exchanges accountable.

Local frames: exploiting inherited origins to bypass content blockers

Anton Lazarev, Brave, was presenting on behalf of Alisha Ukani, Phd student at UC San Diego, and shared her study showing how many popular web security and privacy tools mishandle local iframes. This oversight leaves users exposed to fingerprinting, tracking, and data exfiltration. Though the tools fail in different ways, the root cause is the same: legacy web features interacting unpredictably with modern browser privacy boundaries.

Advertising world’s perspective

It’s great that people from the other side of the industry come to the summit — it’s always interesting to hear a different point of view and learn about the challenges they face.

The creator economy's false choice: privacy vs. supporting art

Henry Fisher, Founder and CEO of Techlore, highlighted the paradox of creators relying on surveillance-based ads while advocating for privacy. He explored ways to build sustainable creator models that respect user privacy.

The impact of ad filtering on performance marketing in 2025 and 2026

Aleksei Terekhov, CMO at MitGo, examines how ad-filtering tools negatively and positively affect the performance marketing industry and what challenges both sides face, how some companies lobby for their interests in this area, while others lose millions of dollars in revenue.

Collaborative paths to privacy enhancing advertising

Leigh Freund, President & CEO at The NAI and Alex Cone, Group Product Manager, Chrome at Google, discuss practical ways to build privacy-enhancing digital advertising that supports publishers and advertisers while empowering consumers. They cover global policy strategies, real-world privacy-tech efforts, and collaborative opportunities to redesign the ad ecosystem with privacy built in from the start.

Conclusion

Ad-Filtering Dev Summit is unique among other similar developer conferences. A common thread running through the feedback we collected from the speakers is that AFDS stands out as a highly technical and genuinely valuable conference — not just a platform for networking, but a place where people meaningfully gain and exchange knowledge.

People who work on similar challenges get to discuss the latest developments, share feedback, and sometimes even find solutions in real time. It’s inspiring to see Q&A sessions turn into practical advice exchanges, with conversations that could honestly continue forever. AFDS is both highly international and surprisingly intimate, and we’re proud to be part of it.

For us, the Ad-Filtering Dev Summit has always been about strengthening the community and bringing people together face to face — and this year, as organizers, it was truly inspiring to welcome everyone back. AFDS creates the connections and feedback that help all of us push the boundaries of ad filtering and privacy.

– Andrey Meshkov, AdGuard CTO and Founder

We want to say a huge THANK YOU to all the speakers for their amazing presentations — and thank you to everyone who traveled all the way to Cyprus to join us.

Big thanks to our sponsors who made the summit possible – eyeo, Ghostery, and Google!

And thanks to the Cyprus weather — some of us even managed to swim in the Mediterranean in October! Hope to see everyone next year. Let’s see where the next one takes us!

喜歡這篇文章嗎?
AdGuard DNS AdGuard Mail AdGuard Wallet
AdGuard DNS AdGuard Mail AdGuard Wallet
AdGuard Windows 版主畫面
AdGuard Windows 版的防護畫面,顯示防護功能與設定。
AdGuard Windows 版的統計畫面,顯示已封鎖的廣告與追蹤器資料。
AdGuard Windows 版的應用程式管理畫面,顯示裝置上已安裝應用程式的防護管理選項
21,755 21755 使用者評論
極好的!

AdGuard Windows 版:PC 廣告阻擋器

Windows 版 AdGuard 不只是廣告封鎖程式,它是集成所有讓您享受最佳網路體驗的主要功能的多用途工具。其可封鎖廣告和危險網站,加速網頁載入速度,並且保護兒童的線上安全。
透過下載該程式,您接受授權協定的條款
Microsoft Store
透過下載該程式,您接受授權協定的條款
AdGuard for Windows 8.0 版本,14 天的試用期
AdGuard Mac 版主畫面
AdGuard Mac 版的隱身模式介面
21,755 21755 使用者評論
極好的!

AdGuard Mac 版:全系統廣告攔截器

Mac 版 AdGuard 是一款獨一無二的專為 MacOS 設計的廣告封鎖程式。除了保護使用者免受瀏覽器和應用程式裡惱人廣告的侵擾外,應用程式還能保護使用者免受追蹤、網路釣魚和詐騙。
透過下載該程式,您接受授權協定的條款
閱讀更多
AdGuard for Mac 2.19 版本,14 天的試用期
AdGuard Android 版主畫面
AdGuard Android 版的追蹤保護畫面
AdGuard Android 版的應用程式管理畫面,顯示裝置上已安裝應用程式的防護管理選項
AdGuard Android 版的統計畫面,顯示已封鎖的廣告與追蹤器資料。
AdGuard Android 版隱私瀏覽器主畫面
下載 AdGuard Android 版的 QR 碼
21,755 21755 使用者評論
極好的!

Android 版 AdGuard —廣告封鎖器

在所有瀏覽器、遊戲及其他應用中封鎖廣告和追蹤器。保護個人隱私,並讓您控制應用如何使用網路。通過 APK 安裝。
透過下載該程式,您接受授權協定的條款
閱讀更多
掃描下載
可以使用任何一款 QR 碼閱讀器
AdGuard for Android 4.14 版本,14 天的試用期
AdGuard iOS 版主畫面
AdGuard iOS 版的防護畫面,顯示防護功能與設定。
AdGuard iOS 版的統計畫面,顯示已封鎖的廣告與追蹤器資料。
下載 AdGuard iOS 版的 QR 碼
21,755 21755 使用者評論
極好的!

iOS 版 AdGuard —廣告封鎖器

適用於 iPhone 和 iPad 的最佳 iOS 廣告攔截器。AdGuard 可在 Safari 中消除各種廣告與追蹤器,並在 DNS 層級保護您在所有應用程式中的隱私。
透過下載該程式,您接受授權協定的條款
閱讀更多
掃描下載
可以使用任何一款 QR 碼閱讀器
AdGuard for iOS 版本 4.5
AdGuard 內容阻擋器主畫面
AdGuard 內容阻擋器的過濾器畫面
AdGuard 內容阻擋器的設定畫面
21,755 21755 使用者評論
極好的!

AdGuard 內容阻擋器

AdGuard 內容阻擋器可以全面阻止所有支援內容封鎖技術的行動瀏覽器中的廣告,目前包括 Samsung Internet 瀏覽器和 Yandex 瀏覽器。雖然其功能相比 Android 版 AdGuard 有所限制,但它完全免費、安裝簡單且封鎖高效。
透過下載該程式,您接受授權協定的條款
閱讀更多
AdGuard 內容阻擋器 版本 2.8
AdGuard 瀏覽器擴充功能的主畫面
AdGuard 瀏覽器擴充功能的追蹤防護畫面
21,755 21755 使用者評論
極好的!

AdGuard 瀏覽器擴充功能

AdGuard 是有效地封鎖於全部網頁上的所有類型廣告之最快的和最輕量的廣告封鎖擴充功能!為您使用的瀏覽器選擇 AdGuard,然後取得無廣告的、快速的和安全的瀏覽。
安裝
透過下載該程式,您接受授權協定的條款
安裝
透過下載該程式,您接受授權協定的條款
安裝
透過下載該程式,您接受授權協定的條款
安裝
透過下載該程式,您接受授權協定的條款
安裝
透過下載該程式,您接受授權協定的條款
閱讀更多
安裝
透過下載該程式,您接受授權協定的條款
閱讀更多
AdGuard 瀏覽器擴充功能 版本 5.5
AdGuard 助理主畫面
21,755 21755 使用者評論
極好的!

AdGuard 助理

AdGuard 桌面應用的配套瀏覽器擴充套件。支援封鎖網頁特定內容、將網站新增至允許清單,並直接從瀏覽器提交報告。
AdGuard 助理 版本 1.4
21,755 21755 使用者評論
極好的!

AdGuard Home

AdGuard Home 是一款以網路為基礎的解決方案,用於封鎖廣告和追蹤器。只需在您的路由器上安裝一次,即可涵蓋家庭網路上的所有裝置——無需另外安裝客戶端軟體。這對於經常威脅您隱私的各類物聯網裝置來說尤為重要。
AdGuard Home 版本 0.107
AdGuard Pro iOS 版主畫面
AdGuard Pro iOS 版的保護畫面,顯示保護功能與設定
AdGuard Pro iOS 版的統計畫面,顯示已封鎖的廣告和追蹤器資料
21,755 21755 使用者評論
極好的!

AdGuard Pro iOS 版

AdGuard Pro iOS 版預置全部進階廣告封鎖防護功能,提供與 AdGuard iOS 版付費版完全相同的工具集。其卓越之處在於:不僅能精準封鎖 Safari 瀏覽器內的廣告,更支援自訂的 DNS 設定以精細化防護策略。該產品具備跨瀏覽器與應用的全方位廣告封鎖能力,有效防護兒童遠離不良內容,並全面保障個人資料安全。
透過下載該程式,您接受授權協定的條款
閱讀更多
AdGuard Pro iOS 版 版本 4.5
AdGuard Mini Mac 版主畫面
AdGuard Mini Mac 版的 Safari 保護畫面
AdGuard Mini Mac 版的建立規則畫面
21,755 21755 使用者評論
極好的!

AdGuard Mini Mac 版:Safari 廣告封鎖程式

AdGuard Mini Mac 版是一款強大的 Safari 廣告攔截程式。這款輕量級應用不僅能移除廣告、封鎖追蹤器,還能顯著提升網頁載入速度。它讓您在 Safari 中專注瀏覽、免受干擾,同時確保個人資料安全私密。
安裝
透過下載該程式,您接受授權協定的條款
閱讀更多
AdGuard Mini Mac 版 版本 2.3
開啟防護狀態下的 AdGuard Android TV 版本主畫面
AdGuard Android TV 版本的廣告封鎖畫面,顯示其功能與設定
AdGuard Android TV 版本的設定畫面
AdGuard Android TV 版本的應用程式管理畫面,顯示已封鎖廣告與追蹤器的應用程式。
21,755 21755 使用者評論
極好的!

AdGuard Android TV 版

Android TV 版 AdGuard 是唯一一款能封鎖廣告、保護隱私並充當智慧電視防火墻的應用程式。取得網路威脅警告,使用安全 DNS,並受益於加密流量。有了安全性和零廣告的使用體驗,使用者就可以盡情享受最喜愛的節目了!
AdGuard Android TV 版 4.14 版本,14 天的試用期
AdGuard 吉祥物 Agnar 懷抱 Linux 的企鵝吉祥物
21,755 21755 使用者評論
極好的!

AdGuard Linux 版

AdGuard Linux 版是世界上第一個系統級廣告封鎖器。封鎖廣告和追蹤器,選擇預設過濾器或新增自己的過濾器。管理流程通過命令行介面實現。
AdGuard Linux 版 版本 1.4
21,755 21755 使用者評論
極好的!

AdGuard Temp Mail

免費的臨時電子郵件地址產生器,保持匿名性並保護個人隱私。您的主收件匣中沒有垃圾郵件!
21,755 21755 使用者評論
極好的!

AdGuard DNS

AdGuard DNS 是一種不需要安裝任何的應用程式而封鎖網際網路廣告之極簡單的方式。它易於使用,完全地免費,被輕易地於任何的裝置上設置,並向您提供封鎖廣告、計數器、惡意網站和成人內容之最少必要的功能。
21,755 21755 使用者評論
極好的!

AdGuard Mail

保護個人身份,避免垃圾郵件,並使用我們的別名和臨時電子郵件地址保護收件箱。享受我們的免費電子信箱轉發服務和適用於所有作業系統的應用程式使用體驗。
21,755 21755 使用者評論
極好的!

AdGuard Wallet

一個安全且私密的加密貨幣錢包,讓您完全掌控資產。管理多個錢包,探索上千種加密貨幣以儲存、傳送及兌換。
已開始下載 AdGuard 點擊箭頭所指示的檔案開始安裝 AdGuard。 選擇"開啟"並點擊"確定",然後等待該檔案被下載。在被打開的視窗中,拖曳 AdGuard 圖像到"應用程式"檔案夾中。感謝您選擇 AdGuard! 選擇"開啟"並點擊"確定",然後等待該檔案被下載。在被打開的視窗中,點擊"安裝"。感謝您選擇 AdGuard!
在行動裝置上安裝 AdGuard