most citedDangerous Cloaking: Natural Trigger based Backdoor Attacks on Object Detectors in the Physical World

16 citations · 30 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR20225 cited

Towards A Critical Evaluation of Robustness for Deep Learning Backdoor Countermeasures

Huming Qiu, Hua Ma, Zhi Zhang +4

Since Deep Learning (DL) backdoor attacks have been revealed as one of the most insidious adversarial attacks, a number of countermeasures have been developed with certain assumpti…

cs.CV202216 cited

Dangerous Cloaking: Natural Trigger based Backdoor Attacks on Object Detectors in the Physical World

Hua Ma, Yinshan Li, Yansong Gao +7

Deep learning models have been shown to be vulnerable to recent backdoor attacks. A backdoored model behaves normally for inputs containing no attacker-secretly-chosen trigger and…

cs.CR20173 cited

Detecting Recycled Commodity SoCs: Exploiting Aging-Induced SRAM PUF Unreliability

Yansong Gao, Hua Ma, Said F. Al-Sarawi +2

A physical unclonable function (PUF), analogous to a human fingerprint, has gained an enormous amount of attention from both academia and industry. SRAM PUF is among one of the pop…

cs.CR20173 cited

Exploiting PUF Models for Error Free Response Generation

Yansong Gao, Hua Ma, Geifei Li +5

Physical unclonable functions (PUF) extract secrets from randomness inherent in manufacturing processes. PUFs are utilized for basic cryptographic tasks such as authentication and…

cs.CR20173 cited

PUF-FSM: A Controlled Strong PUF

Yansong Gao, Damith C. Ranasinghe

This paper presents the PUF finite state machine (PUF-FSM) that is served as a practical {\it controlled} strong PUF. Previous controlled PUF designs have the difficulties of stabi…