2 citations · 2 across the 6 of their papers we have counts for
6 papers
Steganographic Passport: An Owner and User Verifiable Credential for Deep Model IP Protection Without Retraining
Qi Cui, Ruohan Meng, Chaohui Xu +1
Ensuring the legal usage of deep models is crucial to promoting trustable, accountable, and responsible artificial intelligence innovation. Current passport-based methods that obfu…
SPFL: A Self-purified Federated Learning Method Against Poisoning Attacks
Zizhen Liu, Weiyang He, Chip-Hong Chang +3
While Federated learning (FL) is attractive for pulling privacy-preserving distributed training data, the credibility of participating clients and non-inspectable data pose new sec…
White-Box Adversarial Attacks on Deep Learning-Based Radio Frequency Fingerprint Identification
Jie Ma, Junqing Zhang, Guanxiong Shen +2
Radio frequency fingerprint identification (RFFI) is an emerging technique for the lightweight authentication of wireless Internet of things (IoT) devices. RFFI exploits unique har…
Mercury: An Automated Remote Side-channel Attack to Nvidia Deep Learning Accelerator
Xiaobei Yan, Xiaoxuan Lou, Guowen Xu +4
DNN accelerators have been widely deployed in many scenarios to speed up the inference process and reduce the energy consumption. One big concern about the usage of the accelerator…
Zero-Shot Text Classification via Self-Supervised Tuning
Chaoqun Liu, Wenxuan Zhang, Guizhen Chen +4
Existing solutions to zero-shot text classification either conduct prompting with pre-trained language models, which is sensitive to the choices of templates, or rely on large-scal…
An Efficient Hash-based Data Structure for Dynamic Vision Sensors and its Application to Low-energy Low-memory Noise Filtering
Pradeep Kumar Gopalakrishnan, Chip-Hong Chang, Arindam Basu
Events generated by the Dynamic Vision Sensor (DVS) are generally stored and processed in two-dimensional data structures whose memory complexity and energy-per-event scale proport…