43 citations · 65 across the 5 of their papers we have counts for
5 papers
FASTAR: FRI Accelerator for Scalable Transparent ARguments of Knowledge
Tengkai Gong, Xiaolin Xu
Zero-Knowledge Proofs (ZKPs) enable a prover to cryptographically convince a verifier of the validity of a statement without revealing any underlying secrets, forming a foundationa…
PermuteV: A Performant Side-channel-Resistant RISC-V Core Securing Edge AI Inference
Nuntipat Narkthong, Xiaolin Xu
Edge AI inference is becoming prevalent thanks to the emergence of small yet high-performance microprocessors. This shift from cloud to edge processing brings several benefits in t…
DeepStrike: Remotely-Guided Fault Injection Attacks on DNN Accelerator in Cloud-FPGA
Yukui Luo, Cheng Gongye, Yunsi Fei +1
As Field-programmable gate arrays (FPGAs) are widely adopted in clouds to accelerate Deep Neural Networks (DNN), such virtualization environments have posed many new security issue…
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA
Adnan Siraj Rakin, Yukui Luo, Xiaolin Xu +1
The wide deployment of Deep Neural Networks (DNN) in high-performance cloud computing platforms brought to light multi-tenant cloud field-programmable gate arrays (FPGA) as a popul…
EOP: An Encryption-Obfuscation Solution for Protecting PCBs Against Tampering and Reverse Engineering
Zimu Guo, Xiaolin Xu, Mark M. Tehranipoor +1
PCBs are the core components for the devices ranging from the consumer electronics to military applications. Due to the accessibility of the PCBs, they are vulnerable to the attack…