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Adversarial Learning

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Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation NIPS 2024
On the Adversarial Robustness of Benjamini Hochberg NIPS 2024
Exploring Adversarial Robustness of Deep State Space Models NIPS 2024
Beyond Slow Signs in High-fidelity Model Extraction NIPS 2024
Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models NIPS 2024
GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models NIPS 2024
Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness NIPS 2024
Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness NIPS 2024
WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks NIPS 2024
Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination NIPS 2024
FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding? NIPS 2024
Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections NIPS 2024
Decoupled Kullback-Leibler Divergence Loss NIPS 2024
Scaling Behavior of Machine Translation with Large Language Models under Prompt Injection Attacks EACL 2024
Context-aware Adversarial Attack on Named Entity Recognition EACL 2024
TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases NIPS 2024
Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory NIPS 2024
Trap-MID: Trapdoor-based Defense against Model Inversion Attacks NIPS 2024
FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor NIPS 2024
Few-Shot Adversarial Prompt Learning on Vision-Language Models NIPS 2024
Natural Light Can Also Be Dangerous: Traffic Sign Misinterpretation Under Adversarial Natural Light Attacks WACV 2024
Improving the Fairness of the Min-Max Game in GANs Training WACV 2024
Assessing Neural Network Robustness via Adversarial Pivotal Tuning WACV 2024
Few-Shot Generative Model for Skeleton-Based Human Action Synthesis Using Cross-Domain Adversarial Learning WACV 2024
Defense Against Adversarial Cloud Attack on Remote Sensing Salient Object Detection WACV 2024