3 papers
cs.LG2026
Leaking Circuit Secrets: Gradient Leakage Attacks on Graph Neural Networks
Rupesh Raj Karn, Johann Knechtel, Ozgur Sinanoglu
As graph neural networks (GNNs) become standard tools for critical tasks in circuit design and analysis, their security and privacy risks require careful attention. Here, we presen…
cs.LG2025
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.LG2025
Linear Feedback Control Systems for Iterative Prompt Optimization in Large Language Models
Rupesh Raj Karn
Large Language Models (LLMs) have revolutionized various applications by generating outputs based on given prompts. However, achieving the desired output requires iterative prompt…