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cs.LG2023
On Practical Aspects of Aggregation Defenses against Data Poisoning Attacks
Wenxiao Wang, Soheil Feizi
The increasing access to data poses both opportunities and risks in deep learning, as one can manipulate the behaviors of deep learning models with malicious training samples. Such…
cs.LG2023★ 3 cited
Temporal Robustness against Data Poisoning
Wenxiao Wang, Soheil Feizi
Data poisoning considers cases when an adversary manipulates the behavior of machine learning algorithms through malicious training data. Existing threat models of data poisoning c…
cs.LG2022★ 2 cited
Lethal Dose Conjecture on Data Poisoning
Wenxiao Wang, Alexander Levine, Soheil Feizi
Data poisoning considers an adversary that distorts the training set of machine learning algorithms for malicious purposes. In this work, we bring to light one conjecture regarding…