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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
• AutoChip: Automating HDL Generation Using LLM Feedback
  2023 · 19 citations
• ThUnderVolt: Enabling Aggressive Voltage Underscaling and Timing Error Resilience for Energy Efficient Deep Neural Network Accelerators
  2018 · 15 citations
• Chip-Chat: Challenges and Opportunities in Conversational Hardware Design
  2023 · 14 citations
• Rome was Not Built in a Single Step: Hierarchical Prompting for LLM-based Chip Design
  2024 · 13 citations
• Benchmarking Large Language Models for Automated Verilog RTL Code Generation
  2022 · 11 citations