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04/30/2021
Stealthy Backdoors as Compression Artifacts
In a backdoor attack on a machine learning model, an adversary produces ...
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06/30/2020
Model-Targeted Poisoning Attacks: Provable Convergence and Certified Bounds
Machine learning systems that rely on training data collected from untru...
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04/22/2020
Scalable Attack on Graph Data by Injecting Vicious Nodes
Recent studies have shown that graph convolution networks (GCNs) are vul...
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08/19/2019
Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries
In a black-box setting, the adversary only has API access to the target ...
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12/23/2017
