Given a fixed security order, the randomness and latency of masked hardware present a trade-off. This trade-off has not been structurally examined well enough to enable an efficient search for a user-optimal (randomness/latency-efficient) masked design. Gadget-based masking simplifies masking by replacing each unmasked...
An overview of recent works on LLM-based SVA generation is provided, and a central question is asked: How can LLM-based assertion generation be made systematic and quality-aware?
MOAT is proposed, a model-agnostic pre-processing defense pipeline that applies a combination of input transformations to protect efficient ViT implementations against adversarial efficiency attacks.
Anadi Goyal, Nandish Chattopadhyay, C. Karfa et al.· 0 citations
This survey examines a recent class of adversarial efficiency degradation attacks that target these mechanisms to increase computation without necessarily degrading accuracy, and unify and compare two representative attacks across three popular token-pruning frameworks.
Anadi Goyal, Nandish Chattopadhyay, Anupam Chattopadhyay et al.· 0 citations
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