705 citations · 947 across the 9 of their papers we have counts for
10 papers
Physical Side-Channel Attacks on Edge LLMs: Extracting Output Tokens and User Prompts
Najeh Alhalawani, Gunes Acar, Zhuoran Liu +1
The deployment of large language models (LLMs) on edge devices is largely motivated by privacy concerns over sharing sensitive user data with cloud servers. In this paper, we demon…
ChildSafeAds Shared Task 2026: Commercial Content in Child-Facing YouTube Videos
Thales Bertaglia, Catalina Goanta, Gerasimos Spanakis +1
ChildSafeAds is a shared task on commercial content in YouTube videos likely to reach children and teenagers. The dataset contains 3,360 videos from 939 channels, each starting wit…
SoK: Advances and Open Problems in Web Tracking
Yash Vekaria, Yohan Beugin, Shaoor Munir +11
Web tracking is a pervasive and opaque practice that enables personalized advertising, retargeting, and conversion tracking. Over time, it has evolved into a sophisticated and inva…
On Fact and Frequency: LLM Responses to Misinformation Expressed with Uncertainty
Yana van de Sande, Gunes Açar, Thabo van Woudenberg +1
We study LLM judgments of misinformation expressed with uncertainty. Our experiments study the response of three widely used LLMs (GPT-4o, LlaMA3, DeepSeek-v2) to misinformation pr…
Targeted and Troublesome: Tracking and Advertising on Children's Websites
Zahra Moti, Asuman Senol, Hamid Bostani +4
On the modern web, trackers and advertisers frequently construct and monetize users' detailed behavioral profiles without consent. Despite various studies on web tracking mechanism…
The CNAME of the Game: Large-scale Analysis of DNS-based Tracking Evasion
Yana Dimova, Gunes Acar, Lukasz Olejnik +2
Online tracking is a whack-a-mole game between trackers who build and monetize behavioral user profiles through intrusive data collection, and anti-tracking mechanisms, deployed as…
Privacy Policies over Time: Curation and Analysis of a Million-Document Dataset
Ryan Amos, Gunes Acar, Eli Lucherini +3
Automated analysis of privacy policies has proved a fruitful research direction, with developments such as automated policy summarization, question answering systems, and complianc…
IoT Inspector: Crowdsourcing Labeled Network Traffic from Smart Home Devices at Scale
Danny Yuxing Huang, Noah Apthorpe, Gunes Acar +2
The proliferation of smart home devices has created new opportunities for empirical research in ubiquitous computing, ranging from security and privacy to personal health. Yet, dat…
Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites
Arunesh Mathur, Gunes Acar, Michael J. Friedman +4
Dark patterns are user interface design choices that benefit an online service by coercing, steering, or deceiving users into making unintended and potentially harmful decisions. W…
How Unique is Your .onion? An Analysis of the Fingerprintability of Tor Onion Services
Rebekah Overdorf, Marc Juarez, Gunes Acar +2
Recent studies have shown that Tor onion (hidden) service websites are particularly vulnerable to website fingerprinting attacks due to their limited number and sensitive nature. I…