Torchattacks: A PyTorch Repository for Adversarial Attacks

Torchattacks is a PyTorch library that contains adversarial attacks to generate adversarial examples and to verify the robustness of deep learning models. The code can be found at https://github.com/Harry24k/adversarial-attacks-pytorch.

Health & medicine Security & robustness cs.LG cs.AI cs.CR Adversarial Robustness in Machine Learning Advanced Malware Detection Techniques Forensic and Genetic Research Computer Science

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Patents near this paper

Automatic Machine Learning Vulnerability Identification and RetrainingUS 11,818,163 · PAYPAL, INC. · 2023 SYSTEMS AND METHODS FOR FAST TRAINING OF MORE ROBUST MODELS AGAINST ADVERSARIAL ATTACKSUS 11,768,932 · BAIDU USA LLC · 2023 SYSTEM AND METHOD FOR MACHINE LEARNING ARCHITECTURE WITH ADVERSARIAL ATTACK DEFENCEUS 11,520,899 · ROYAL BANK OF CANADA · 2022 Method and System for Generating Adversarial Attacks on Video Recognition ModelsUS 11,776,241 · FUDAN UNIVERSITY · 2023 Quantifying Vulnerabilities of Deep Learning Computing Systems to Adversarial PerturbationsUS 11,227,215 · INTERNATIONAL BUSINESS MACHINES CORPORATION · 2022

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arXiv