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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
• Evaluating Llms For Hardware Design And Test
  2024 · 24 citations
• ThUnderVolt: Enabling Aggressive Voltage Underscaling and Timing Error Resilience for Energy Efficient Deep Neural Network Accelerators
  2018 · 15 citations
• Can Reasoning Models Reason about Hardware? An Agentic HLS Perspective
  2025 · 11 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