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

AAAI New Faculty Highlights: General and Scalable Optimization for Robust AI AAAI 2023

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models NIPS 2023

Phase-aware Adversarial Defense for Improving Adversarial Robustness ICML 2023

Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration ICML 2023

On Evaluating Adversarial Robustness of Large Vision-Language Models NIPS 2023

Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks ICML 2023

Adjustable Robust Reinforcement Learning for Online 3D Bin Packing NIPS 2023

Generalization Bounds for Adversarial Metric Learning IJCAI 2023

Improving Adversarial Robustness to Sensitivity and Invariance Attacks with Deep Metric Learning (Student Abstract) AAAI 2023

Robust Perception through Equivariance ICML 2023

Corruption-Robust Offline Reinforcement Learning with General Function Approximation NIPS 2023

Use perturbations when learning from explanations NIPS 2023

Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations ICML 2023

On the Functional Similarity of Robust and Non-Robust Neural Representations ICML 2023

A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification ICML 2023

Provably Bounding Neural Network Preimages NIPS 2023

Multi-scale Diffusion Denoised Smoothing NIPS 2023

Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis NIPS 2023

Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization NIPS 2023

On the Role of Randomization in Adversarially Robust Classification NIPS 2023

Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly NIPS 2023

A Multilingual Evaluation of NER Robustness to Adversarial Inputs ACL 2023

NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks NIPS 2023

Enhancing Adversarial Robustness via Score-Based Optimization NIPS 2023

GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks ICML 2023