7 citations · 13 across the 9 of their papers we have counts for
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cs.LG2023★ 1 cited
Towards Efficient Verification of Quantized Neural Networks
Pei Huang, Haoze Wu, Yuting Yang +4
Quantization replaces floating point arithmetic with integer arithmetic in deep neural network models, providing more efficient on-device inference with less power and memory. In t…
cs.CR2023★ 7 cited
SLMIA-SR: Speaker-Level Membership Inference Attacks against Speaker Recognition Systems
Guangke Chen, Yedi Zhang, Fu Song
Membership inference attacks allow adversaries to determine whether a particular example was contained in the model's training dataset. While previous works have confirmed the feas…
cs.CR2023★ 3 cited
QFA2SR: Query-Free Adversarial Transfer Attacks to Speaker Recognition Systems
Guangke Chen, Yedi Zhang, Zhe Zhao +1
Current adversarial attacks against speaker recognition systems (SRSs) require either white-box access or heavy black-box queries to the target SRS, thus still falling behind pract…