Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?

Rui Wen, Zhengyu Zhao, Zhuoran Liu, M. Backes, Tianhao Wang +1 more
2/12/2026

No official code found. Best implementation: WenRuiUSTC/EntF (12 stars, MIT, last commit 2023-03-13).

Semantic Scholar

Code Implementations(1)

WenRuiUSTC/EntFCommunity63%
MIT

PyTorch implementation of our ICLR 2023 paper titled "Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?".

122PythonFeb 28, 20233 years agoMIT

Similar Papers

Creating a Public Repository for Joining Private Data

96% match2026

AD3: Introducing a Score for Anomaly Detection Dataset Difficulty Assessment Using VIADUCT Dataset

95% match2026

Context-Aware Action Recognition: Introducing a Comprehensive Dataset for Behavior Contrast

95% match2026

StressID: a Multimodal Dataset for Stress Identification

95% match1 repo282026

Separate and Diffuse: Using a Pretrained Diffusion Model for Better Source Separation

92% match2026

Position: LLMs Need a Bayesian Meta-Reasoning Framework for More Robust and Generalizable Reasoning

88% match2026

Cite this paper

@article{wen2026adversarial,
  title  = {Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?},
  author = {Rui Wen and Zhengyu Zhao and Zhuoran Liu and M. Backes and Tianhao Wang and Yang Zhang},
  year   = {2026},
  url    = {https://api.semanticscholar.org/CorpusID:2418bc3f97d1ee8d0caec7656af78343b83cabe3},
  journal = {ICLR 2023 2023}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2418bc3f97d1ee8d0caec7656af78343b83cabe3.svg)](https://codeofpaper.com/paper/2418bc3f97d1ee8d0caec7656af78343b83cabe3)

Discussion