13 citations · 17 across the 11 of their papers we have counts for
3 papers · 1 filter
Defense against ML-based Power Side-channel Attacks on DNN Accelerators with Adversarial Attacks
Xiaobei Yan, Chip Hong Chang, Tianwei Zhang
Artificial Intelligence (AI) hardware accelerators have been widely adopted to enhance the efficiency of deep learning applications. However, they also raise security concerns rega…
A Unified Hardware-based Threat Detector for AI Accelerators
Xiaobei Yan, Han Qiu, Tianwei Zhang
The proliferation of AI technology gives rise to a variety of security threats, which significantly compromise the confidentiality and integrity of AI models and applications. Exis…
TPU as Cryptographic Accelerator
Rabimba Karanjai, Sangwon Shin, and Wujie Xiong +8
Cryptographic schemes like Fully Homomorphic Encryption (FHE) and Zero-Knowledge Proofs (ZKPs), while offering powerful privacy-preserving capabilities, are often hindered by their…