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cs.LG2025★ 1 cited
SALAD: Systematic Assessment of Machine Unlearning on LLM-Aided Hardware Design
Zeng Wang, Minghao Shao, Rupesh Karn +6
Large Language Models (LLMs) offer transformative capabilities for hardware design automation, particularly in Verilog code generation. However, they also pose significant data sec…
cs.LG2024
LLMs and the Future of Chip Design: Unveiling Security Risks and Building Trust
Zeng Wang, Lilas Alrahis, Likhitha Mankali +2
Chip design is about to be revolutionized by the integration of large language, multimodal, and circuit models (collectively LxMs). While exploring this exciting frontier with trem…