Deoxys: Defensive Approximate Computing for Secure Graph Neural Networks
Graph data and graph neural networks (GNNs) have demonstrated their significance in a
wide range of high-impact applications. However, GNNs are vulnerable to adversarial …
wide range of high-impact applications. However, GNNs are vulnerable to adversarial …
[PDF][PDF] LLMs for Hardware Verification: Frameworks, Techniques, and Future Directions
Large Language Models (LLMs) have gained immense popularity and are being explored
for use in several domains. In this paper, we describe the LLMs for their use in the Electronic …
for use in several domains. In this paper, we describe the LLMs for their use in the Electronic …