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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

Adapters Mixup: Mixing Parameter-Efficient Adapters to Enhance the Adversarial Robustness of Fine-tuned Pre-trained Text Classifiers EMNLP 2024
Optimal Attack and Defense for Reinforcement Learning AAAI 2024
Deep Active Learning with Noise Stability AAAI 2024
Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces AAAI 2024
OxonFair: A Flexible Toolkit for Algorithmic Fairness NIPS 2024
NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples NIPS 2024
Robust Neural Contextual Bandit against Adversarial Corruptions NIPS 2024
Authorship Obfuscation in Multilingual Machine-Generated Text Detection EMNLP 2024
Towards Sharper Generalization Bounds for Adversarial Contrastive Learning IJCAI 2024
Using Natural Language Explanations to Improve Robustness of In-context Learning ACL 2024
Towards Trustworthy Deep Learning AAAI 2024
AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents NIPS 2024
Revisiting the Information Capacity of Neural Network Watermarks: Upper Bound Estimation and Beyond AAAI 2024
Spear: Evaluate the Adversarial Robustness of Compressed Neural Models IJCAI 2024
When Causal Inference Meets Graph Machine Learning AAAI 2024
KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs AAAI 2024
Lyapunov-Stable Deep Equilibrium Models AAAI 2024
Taxonomy Driven Fast Adversarial Training AAAI 2024
Harnessing Edge Information for Improved Robustness in Vision Transformers AAAI 2024
Out of Thin Air: Exploring Data-Free Adversarial Robustness Distillation AAAI 2024
Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks AAAI 2024
Data-Free Hard-Label Robustness Stealing Attack AAAI 2024
Improving Adversarial Robustness via Feature Pattern Consistency Constraint IJCAI 2024
TTTS: Tree Test Time Simulation for Enhancing Decision Tree Robustness against Adversarial Examples AAAI 2024
Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms AAAI 2024