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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

Can Go AIs Be Adversarially Robust? AAAI 2025
AUTE: Peer-Alignment and Self-Unlearning Boost Adversarial Robustness for Training Ensemble Models AAAI 2025
Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase Sampling WACV 2025
Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature AAAI 2025
An Adversary-Resistant Multi-Agent LLM System via Credibility Scoring IJCNLP 2025
LLMs Caught in the Crossfire: Malware Requests and Jailbreak Challenges ACL 2025
Precision vs. Perturbation: Robustness Analysis of Synonym Attacks in Ukrainian NLP ACL 2025
When Visual State Space Model Meets Backdoor Attacks WACV 2025
Robustifying Zero-Shot Vision Language Models by Subspaces Alignment ICCV 2025
On the Robustness Tradeoff in Fine-Tuning ICCV 2025
Towards Trustworthy Machine Learning Under Distribution Shifts AAAI 2025
ArithmAttack: Evaluating Robustness of LLMs to Noisy Context in Math Problem Solving ACL 2025
Model Poisoning Attacks to Federated Learning via Multi-Round Consistency CVPR 2025
How Ambiguous Are the Rationales for Natural Language Reasoning? A Simple Approach to Handling Rationale Uncertainty COLING 2025
Open-world Radio Frequency Fingerprint Identification via Augmented Semi-supervised Learning AAAI 2025
Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution AAAI 2025
From Insight to Exploit: Leveraging LLM Collaboration for Adaptive Adversarial Text Generation EMNLP 2025
Parameter-free and Accessible Prompt Learning to Enhance Adversarial Robustness for Pre-trained Vision-Language Models NAACL 2025
Improving Adversarial Transferability on Vision Transformers via Forward Propagation Refinement CVPR 2025
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks CVPR 2025
Improving Alignment and Robustness with Circuit Breakers NIPS 2024
On the Adversarial Robustness of Benjamini Hochberg NIPS 2024
CosalPure: Learning Concept from Group Images for Robust Co-Saliency Detection CVPR 2024
Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks AAAI 2024
OxonFair: A Flexible Toolkit for Algorithmic Fairness NIPS 2024