1.6k citations · 2.1k across the 35 of their papers we have counts for
43 papers
CensorLess: Cost-Efficient Censorship Circumvention Through Serverless Cloud Functions
Dayeon Kang, Jade Sheffey, Mingshi Wu +2
With the increase in Internet censorship globally, various circumvention tools have been designed and developed. However, the monetary cost of these tools deeply impacts both user…
Decoding FL Defenses: Systemization, Pitfalls, and Remedies
Momin Ahmad Khan, Virat Shejwalkar, Yasra Chandio +2
While the community has designed various defenses to counter the threat of poisoning attacks in Federated Learning (FL), there are no guidelines for evaluating these defenses. Thes…
Fake or Compromised? Making Sense of Malicious Clients in Federated Learning
Hamid Mozaffari, Sunav Choudhary, Amir Houmansadr
Federated learning (FL) is a distributed machine learning paradigm that enables training models on decentralized data. The field of FL security against poisoning attacks is plagued…
Realistic Website Fingerprinting By Augmenting Network Trace
Alireza Bahramali, Ardavan Bozorgi, Amir Houmansadr
Website Fingerprinting (WF) is considered a major threat to the anonymity of Tor users (and other anonymity systems). While state-of-the-art WF techniques have claimed high attack…
Stealing the Decoding Algorithms of Language Models
Ali Naseh, Kalpesh Krishna, Mohit Iyyer +1
A key component of generating text from modern language models (LM) is the selection and tuning of decoding algorithms. These algorithms determine how to generate text from the int…
Security Analysis of SplitFed Learning
Momin Ahmad Khan, Virat Shejwalkar, Amir Houmansadr +1
Split Learning (SL) and Federated Learning (FL) are two prominent distributed collaborative learning techniques that maintain data privacy by allowing clients to never share their…