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Adversarial Learning

4854 directly classified papers

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Papers

SMP-Attack: Boosting the Transferability of Feature Importance-based Adversarial Attack with Semantics-aware Multi-granularity Patchout ICCV 2025
Adversarial Attacks Against Automated Fact-Checking: A Survey EMNLP 2025
Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy IJCAI 2025
MCGAN: Enhancing GAN Training with Regression-Based Generator Loss AAAI 2025
Low-Frequency Black-Box Backdoor Attack via Evolutionary Algorithm WACV 2025
AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective IJCAI 2025
SAM Encoder Breach by Adversarial Simplicial Complex Triggers Downstream Model Failures ICCV 2025
ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models ICCV 2025
Image Difference Captioning via Adversarial Preference Optimization EMNLP 2025
A Black-Box Evaluation Framework for Semantic Robustness in Bird’s Eye View Detection AAAI 2025
FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework Defending Against Poisoning Attacks in Heterogeneous Clients IJCAI 2025
Privacy-centric Deep Motion Retargeting for Anonymization of Skeleton-Based Motion Visualization ICCV 2025
Scaling and Taming Adversarial Training with Synthetic Data ICCV 2025
Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy AAAI 2025
WebInject: Prompt Injection Attack to Web Agents EMNLP 2025
AIA: Autoregression-Based Injection Attacks Against Text2SQL Models AAAI 2025
Blessings and Curses of Covariate Shifts: Adversarial Learning Dynamics, Directional Convergence, and Equilibria JMLR 2024
Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination NIPS 2024
Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification JMLR 2024
IntensPure: Attack Intensity-aware Secondary Domain Adaptive Diffusion for Adversarial Purification IJCAI 2024
WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks NIPS 2024
Improving Dialog Safety using Socially Aware Contrastive Learning EACL 2024
Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness NIPS 2024
Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization AISTATS 2024
Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness NIPS 2024