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Adversarial Learning

4854 directly classified papers

Papers per year

Papers

Mixing classifiers to alleviate the accuracy-robustness trade-off L4DC 2024
Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor NIPS 2024
Robust exploration with adversary via Langevin Monte Carlo L4DC 2024
Towards Robust Image Stitching: An Adaptive Resistance Learning against Compatible Attacks AAAI 2024
Manifold Constraints for Imperceptible Adversarial Attacks on Point Clouds AAAI 2024
Once and for All: Universal Transferable Adversarial Perturbation against Deep Hashing-Based Facial Image Retrieval AAAI 2024
Attack Deterministic Conditional Image Generative Models for Diverse and Controllable Generation AAAI 2024
Adversarial Schrödinger Bridge Matching NIPS 2024
Adversarial Robust Safeguard for Evading Deep Facial Manipulation AAAI 2024
Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks AAAI 2024
Neural Codec-based Adversarial Sample Detection for Speaker Verification INTERSPEECH 2024
Contracting with a Learning Agent NIPS 2024
CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-Based 3D Object Detection AAAI 2024
Attacking Transformers with Feature Diversity Adversarial Perturbation AAAI 2024
Exploiting Positional Bias for Query-Agnostic Generative Content in Search ACL 2024
VoiceDefense: Protecting Automatic Speaker Verification Models Against Black-box Adversarial Attacks INTERSPEECH 2024
Optimal Classification under Performative Distribution Shift NIPS 2024
Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously NIPS 2024
Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation AAAI 2024
SlowFormer: Adversarial Attack on Compute and Energy Consumption of Efficient Vision Transformers CVPR 2024
Putting Gale & Shapley to Work: Guaranteeing Stability Through Learning NIPS 2024
Auditing Privacy Mechanisms via Label Inference Attacks NIPS 2024
Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds CVPR 2024
Attacking CNNs in Histopathology with SNAP: Sporadic and Naturalistic Adversarial Patches (Student Abstract) AAAI 2024
United We Stand, Divided We Fall: Fingerprinting Deep Neural Networks via Adversarial Trajectories NIPS 2024