Shypd.aiThe largest open index of AI toolsPapers-of-Robust-ML is an Open Source research tool that compiles papers related to robust machine learning, primarily focusing on defenses against adversarial attacks. It serves as a valuable resource for academic research in the field.
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Papers-of-Robust-ML is an open-source GitHub repository dedicated to curating a collection of papers focused on robust machine learning, with a particular emphasis on adversarial defenses. The repository categorizes papers into various sections such as General Defenses (training and inference phases), Adversarial Detection, Certified Defense and Model Verification, Theoretical Analysis, Empirical Analysis, Beyond Safety, Seminal Work, and Benchmark Datasets. It highlights insightful papers from major conferences like ICML, NeurIPS, ICLR, and CVPR, and welcomes community contributions via pull requests to expand its comprehensive list of related and unlisted papers.
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