gradient-based attack

Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models NeurIPS 2022 Towards Class-Oriented Poisoning Attacks Against Neural Networks WACV 2022 Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias NeurIPS 2022 Vaccinating SER to Neutralize Adversarial Attacks with Self-Supervised Augmentation Strategy Interspeech 2022 Admix: Enhancing the Transferability of Adversarial Attacks ICCV 2021 Adversarial Training with Fast Gradient Projection Method against Synonym Substitution Based Text Attacks AAAI 2021 Concealed Data Poisoning Attacks on NLP Models NAACL 2021 Enhancing the Transferability of Adversarial Attacks Through Variance Tuning CVPR 2021 Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints NeurIPS 2021 Feature Importance-Aware Transferable Adversarial Attacks ICCV 2021 Meta Gradient Adversarial Attack ICCV 2021 PID-Based Approach to Adversarial Attacks AAAI 2021 Role of Optimizer on Network Fine-tuning for Adversarial Robustness (Student Abstract) AAAI 2021 Adversarial Defense based on Structure-to-Signal Autoencoders WACV 2020 Adversarial Semantic Collisions EMNLP 2020 Enhancing Adversarial Defense by k-Winners-Take-All ICLR 2020 GreedyFool: Distortion-Aware Sparse Adversarial Attack NeurIPS 2020 Imitation Attacks and Defenses for Black-box Machine Translation Systems EMNLP 2020 Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks ICLR 2020 Robustness of Bayesian Neural Networks to Gradient-Based Attacks NeurIPS 2020 Towards Transferable Targeted Attack CVPR 2020 Accurate, reliable and fast robustness evaluation NeurIPS 2019 Attacking Data Transforming Learners at Training Time AAAI 2019 Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses CVPR 2019 Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks CVPR 2019