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01/03/2023
Boosting Neural Networks to Decompile Optimized Binaries
Decompilation aims to transform a low-level program language (LPL) (eg.,...
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10/17/2022
A Novel Membership Inference Attack against Dynamic Neural Networks by Utilizing Policy Networks Information
Unlike traditional static deep neural networks (DNNs), dynamic neural ne...
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09/08/2022
SSL-WM: A Black-Box Watermarking Approach for Encoders Pre-trained by Self-supervised Learning
Recent years have witnessed significant success in Self-Supervised Learn...
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07/09/2022
Invisible Backdoor Attacks Using Data Poisoning in the Frequency Domain
With the broad application of deep neural networks (DNNs), backdoor atta...
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12/22/2021
Semantics-Recovering Decompilation through Neural Machine Translation
Decompilation transforms low-level program languages (PL) (e.g., binary ...
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11/22/2021
DBIA: Data-free Backdoor Injection Attack against Transformer Networks
Recently, transformer architecture has demonstrated its significance in ...
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12/26/2018