24 citations · 59 across the 12 of their papers we have counts for
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cs.LG2026
Differentially Private Natural Gradient Descent
Pan Li, Kai Chen, Shuai Chang +3
Under a fixed privacy budget, the utility of differentially private (DP) training is ultimately determined by its optimization efficiency. Standard first-order DP optimizers such a…
cs.LG2023★ 24 cited
Boosting Neural Networks to Decompile Optimized Binaries
Ying Cao, Ruigang Liang, Kai Chen +1
Decompilation aims to transform a low-level program language (LPL) (eg., binary file) into its functionally-equivalent high-level program language (HPL) (e.g., C/C++). It is a core…
cs.LG2022
Invisible Backdoor Attacks Using Data Poisoning in the Frequency Domain
Chang Yue, Peizhuo Lv, Ruigang Liang +1
With the broad application of deep neural networks (DNNs), backdoor attacks have gradually attracted attention. Backdoor attacks are insidious, and poisoned models perform well on…