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adversarial robustness

1335 papers

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Also known as

UAP PAR ADV AR

Co-occurring keywords

adversarial training (1261) adversarial attack (1599) neural network (6616) adversarial example (563) adversarial learning (1592) model robustness (478) adversarial defense (324) large language model (12755) certified robustness (116) adversarial perturbation (376)

Papers

The Lipschitz Constant of Self-Attention ICML 2021
Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference ICML 2021
Weight-covariance alignment for adversarially robust neural networks ICML 2021
Tightening Robustness Verification of Convolutional Neural Networks with Fine-Grained Linear Approximation AAAI 2021
Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness AAAI 2021
Merging Statistical Feature via Adaptive Gate for Improved Text Classification AAAI 2021
Role of Optimizer on Network Fine-tuning for Adversarial Robustness (Student Abstract) AAAI 2021
Adversarial Robustness Guarantees for Random Deep Neural Networks ICML 2021
Large Norms of CNN Layers Do Not Hurt Adversarial Robustness AAAI 2021
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation ICML 2021
Adversarial Defence by Diversified Simultaneous Training of Deep Ensembles AAAI 2021
Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks AAAI 2021
Composite Adversarial Attacks AAAI 2021
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning AAAI 2021
Efficient Training of Robust Decision Trees Against Adversarial Examples ICML 2021
Enhancing Robustness of Neural Networks through Fourier Stabilization ICML 2021
Skew Orthogonal Convolutions ICML 2021
CARTL: Cooperative Adversarially-Robust Transfer Learning ICML 2021
Robust Transfer Learning with Pretrained Language Models through Adapters ACL 2021
Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble ACL 2021
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models EMNLP 2021
Provable Robustness of Adversarial Training for Learning Halfspaces with Noise ICML 2021
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection ICML 2021
Adversarial Robustness Across Representation Spaces CVPR 2021
FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems CVPR 2021