activity
20172026
most citedStateful Defenses for Machine Learning Models Are Not Yet Secure Against Black-box Attacks

15 citations · 78 across the 43 of their papers we have counts for

collaborators

51 papers

cs.CR2026

Optimal Rates for Differentially Private Hypothesis Testing with E-values

Ben Jacobsen, Tomas Gonzalez, Gavin Brown +2

E-values have attracted considerable interest in recent years as flexible tools for enabling anytime-valid and adaptive data analysis. Hypothesis testing is at the core of many of…

cs.CR2026

Undetectable Backdoors in Model Parameters: Hiding Sparse Secrets in High Dimensions

Sarthak Choudhary, Atharv Singh Patlan, Nils Palumbo +3

We present Sparse Backdoor, a supply-chain attack that plants a provably undetectable backdoor in pre-trained image classifiers, including convolutional networks and Vision Transfo…

cs.CR2026

Challenges and Future Directions in Agentic Reverse Engineering Systems

Salem Radey, Jack West, Kassem Fawaz

Agentic systems built on large language models (LLMs) are increasingly being used for complex security tasks, including binary reverse engineering (RE). Despite recent growth in po…

cs.CR2026

WebSP-Eval: Evaluating Web Agents on Website Security and Privacy Tasks

Guruprasad Viswanathan Ramesh, Asmit Nayak, Basieem Siddique +1

Web agents automate browser tasks, ranging from simple form completion to complex workflows like ordering groceries. While current benchmarks evaluate general-purpose performance~(…

cs.CR2026

Text-Based Personas for Simulating User Privacy Decisions

Kassem Fawaz, Ren Yi, Octavian Suciu +4

The ability to simulate human privacy decisions has significant implications for aligning autonomous agents with individual intent and conducting cost-effective, large-scale privac…

cs.HC2026

"It's like a pet...but my pet doesn't collect data about me": Multi-person Households' Privacy Design Preferences for Household Robots

Jennica Li, Shirley Zhang, Dakota Sullivan +4

Household robots boasting mobility, more sophisticated sensors, and powerful processing models have become increasingly prevalent in the commercial market. However, these features…