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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

Adversarially Robust Learning with Uncertain Perturbation Sets NIPS 2023
Enhancing Adversarial Robustness via Score-Based Optimization NIPS 2023
Improving Adversarial Robustness to Sensitivity and Invariance Attacks with Deep Metric Learning (Student Abstract) AAAI 2023
On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective NIPS 2023
From Robustness to Privacy and Back ICML 2023
V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs NIPS 2023
On the Privacy-Robustness-Utility Trilemma in Distributed Learning ICML 2023
Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection AAAI 2023
A General Framework for Robust G-Invariance in G-Equivariant Networks NIPS 2023
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models NIPS 2023
BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming ICML 2023
Cognitive Steering in Deep Neural Networks via Long-Range Modulatory Feedback Connections NIPS 2023
Nash Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness Games AISTATS 2023
Improving Robustness with Adaptive Weight Decay NIPS 2023
Expanding Scope: Adapting English Adversarial Attacks to Chinese ACL 2023
Robust Contrastive Language-Image Pretraining against Data Poisoning and Backdoor Attacks NIPS 2023
NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks NIPS 2023
UKP-SQuARE: An Interactive Tool for Teaching Question Answering ACL 2023
Prompt Tuning for Unified Multimodal Pretrained Models ACL 2023
On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks NIPS 2023
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating AAAI 2023
Robust low-rank training via approximate orthonormal constraints NIPS 2023
Adversarial Self-Training Improves Robustness and Generalization for Gradual Domain Adaptation NIPS 2023
Characterizing the Optimal $0-1$ Loss for Multi-class Classification with a Test-time Attacker NIPS 2023
Memorization Weights for Instance Reweighting in Adversarial Training AAAI 2023