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Adversarial Learning

4854 directly classified papers

Papers per year

Papers

On the Growth of Mistakes in Differentially Private Online Learning: A Lower Bound Perspective COLT 2024
Improving Dialog Safety using Socially Aware Contrastive Learning EACL 2024
Improving Adversarial Robustness via Feature Pattern Consistency Constraint IJCAI 2024
Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation IJCAI 2024
Spear: Evaluate the Adversarial Robustness of Compressed Neural Models IJCAI 2024
Structure-Preserving Physics-Informed Neural Networks with Energy or Lyapunov Structure IJCAI 2024
Towards Sharper Generalization Bounds for Adversarial Contrastive Learning IJCAI 2024
Data Poisoning based Backdoor Attacks to Contrastive Learning CVPR 2024
EditGuard: Versatile Image Watermarking for Tamper Localization and Copyright Protection CVPR 2024
Robust Image Denoising through Adversarial Frequency Mixup CVPR 2024
SURE: SUrvey REcipes for building reliable and robust deep networks CVPR 2024
Towards Accurate and Robust Architectures via Neural Architecture Search CVPR 2024
Robust exploration with adversary via Langevin Monte Carlo L4DC 2024
Mixing classifiers to alleviate the accuracy-robustness trade-off L4DC 2024
BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection IJCAI 2024
Mitigating robust overfitting via self-residual-calibration regularization (Abstract Reprint) IJCAI 2024
XGA-Osteo: Towards XAI-Enabled Knee Osteoarthritis Diagnosis with Adversarial Learning IJCAI 2024
Are Watermarks Bugs for Deepfake Detectors? Rethinking Proactive Forensics IJCAI 2024
ADELT: Transpilation between Deep Learning Frameworks IJCAI 2024
HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis IJCAI 2024
Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation IJCAI 2024
TFCD: Towards Multi-modal Sarcasm Detection via Training-Free Counterfactual Debiasing IJCAI 2024
Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification JMLR 2024
Blessings and Curses of Covariate Shifts: Adversarial Learning Dynamics, Directional Convergence, and Equilibria JMLR 2024
An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification JMLR 2024