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cs.CR2026
HAMLOCK: HArdware-Model LOgically Combined attacK
Sanskar Amgain, Daniel Lobo, Atri Chatterjee +2
The growing use of third-party hardware accelerators (e.g., FPGAs, ASICs) for deep neural networks (DNNs) introduces new security vulnerabilities. Conventional model-level backdoor…
cs.CR2025
Runtime Detection of Adversarial Attacks in AI Accelerators Using Performance Counters
Habibur Rahaman, Atri Chatterjee, Swarup Bhunia
Rapid adoption of AI technologies raises several major security concerns, including the risks of adversarial perturbations, which threaten the confidentiality and integrity of AI a…