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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

Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization CVPR 2024
RAMP: Boosting Adversarial Robustness Against Multiple $l_p$ Perturbations for Universal Robustness NIPS 2024
Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification CVPR 2024
Robust Sparse Regression with Non-Isotropic Designs NIPS 2024
Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples CVPR 2024
Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data NIPS 2024
Privacy-Preserving Face Recognition Using Trainable Feature Subtraction CVPR 2024
On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation CVPR 2024
Language-Driven Anchors for Zero-Shot Adversarial Robustness CVPR 2024
PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor CVPR 2024
Exploring Adversarial Robustness of Deep State Space Models NIPS 2024
CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification CVPR 2024
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM CVPR 2024
Robust Neural Contextual Bandit against Adversarial Corruptions NIPS 2024
DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models CVPR 2024
Boosting Adversarial Training via Fisher-Rao Norm-based Regularization CVPR 2024
CosalPure: Learning Concept from Group Images for Robust Co-Saliency Detection CVPR 2024
Mitigating robust overfitting via self-residual-calibration regularization (Abstract Reprint) IJCAI 2024
Initialization Matters for Adversarial Transfer Learning CVPR 2024
A Fourier Perspective of Feature Extraction and Adversarial Robustness IJCAI 2024
Risk Management in Image Generative Models through Model Fingerprinting AAAI 2024
Deep Learning on Graphs: A Data-Centric Exploration AAAI 2024
Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning NIPS 2024
Universal Robustness via Median Randomized Smoothing for Real-World Super-Resolution CVPR 2024
Mission Impossible: A Statistical Perspective on Jailbreaking LLMs NIPS 2024