Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).
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Updated
Nov 8, 2020 - Python
Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).
Real-time White-Box attacks against Object Detection.
BERT based deep neural network for aspect-based sentiment analysis.
Attack models that are pretrained on ImageNet. (1) Attack single model or multiple models. (2) Apply white-box attacks or black-box attacks. (3) Apply non-targeted attacks or targeted attacks.
PyTorch implementation of ReACG, accepted at ICPRAI 2024.
Official implementation of "Appropriate Balance of Diversification and Intensification Improves Performance and Efficiency of Adversarial Attacks", Transactions on Machine Learning Research (TMLR).
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