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• BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain
  2017 · 1004 citations
• Lost at C: A User Study on the Security Implications of Large Language Model Code Assistants
  2022 · 39 citations
• Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks
  2018 · 38 citations
• Differential Analysis of Triggers and Benign Features for Black-Box DNN Backdoor Detection
  2023 · 11 citations
• An Empirical Evaluation of LLMs for Solving Offensive Security Challenges
  2024 · 6 citations
• Outsourcing Private Machine Learning via Lightweight Secure Arithmetic Computation
  2018 · 4 citations
• NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security
  2024 · 3 citations
• ALMOST: Adversarial Learning to Mitigate Oracle-less ML Attacks via Synthesis Tuning
  2023 · 1 citations
• On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem
  2024 · 1 citations
• MetaCipher: A Time-Persistent and Universal Multi-Agent Framework for Cipher-Based Jailbreak Attacks for LLMs
  2025