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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

Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better ICCV 2021
Sample Efficient Detection and Classification of Adversarial Attacks via Self-Supervised Embeddings ICCV 2021
Spectral Leakage and Rethinking the Kernel Size in CNNs ICCV 2021
Group-Wise Inhibition Based Feature Regularization for Robust Classification ICCV 2021
Defending Against Universal Adversarial Patches by Clipping Feature Norms ICCV 2021
Can Shape Structure Features Improve Model Robustness Under Diverse Adversarial Settings? ICCV 2021
AdvRush: Searching for Adversarially Robust Neural Architectures ICCV 2021
AdvDrop: Adversarial Attack to DNNs by Dropping Information ICCV 2021
Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation ICCV 2021
Improving Adversarial Robustness via Unlabeled Out-of-Domain Data AISTATS 2021
Federated f-Differential Privacy AISTATS 2021
How to Select One Among All ? An Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding EMNLP 2021
Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression EMNLP 2021
On the Robustness of Vision Transformers to Adversarial Examples ICCV 2021
Towards Defending against Adversarial Examples via Attack-Invariant Features ICML 2021
Adaptive Verifiable Training Using Pairwise Class Similarity AAAI 2021
Adversarial Training and Provable Robustness: A Tale of Two Objectives AAAI 2021
Disentangled Information Bottleneck AAAI 2021
Power up! Robust Graph Convolutional Network via Graph Powering AAAI 2021
Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons ICML 2021
Elastic Graph Neural Networks ICML 2021
Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability ICML 2021
Interpretable Graph Capsule Networks for Object Recognition AAAI 2021
On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory AAAI 2021
Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints AAAI 2021