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cs.CR2025
aiXamine: Simplified LLM Safety and Security
Fatih Deniz, Dorde Popovic, Yazan Boshmaf +4
Evaluating Large Language Models (LLMs) for safety and security remains a complex task, often requiring users to navigate a fragmented landscape of ad hoc benchmarks, datasets, met…
cs.CR2025
DeBackdoor: A Deductive Framework for Detecting Backdoor Attacks on Deep Models with Limited Data
Dorde Popovic, Amin Sadeghi, Ting Yu +2
Backdoor attacks are among the most effective, practical, and stealthy attacks in deep learning. In this paper, we consider a practical scenario where a developer obtains a deep mo…