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Adversarial Learning

4854 directly classified papers

Papers per year

Papers

HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis IJCAI 2024
Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment EMNLP 2024
ADELT: Transpilation between Deep Learning Frameworks IJCAI 2024
Neuroevolution of a Multi-Generator GAN (Student Abstract) AAAI 2024
Are Watermarks Bugs for Deepfake Detectors? Rethinking Proactive Forensics IJCAI 2024
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples AAAI 2024
Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks AAAI 2024
Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models NIPS 2024
Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models EMNLP 2024
Beyond Slow Signs in High-fidelity Model Extraction NIPS 2024
XGA-Osteo: Towards XAI-Enabled Knee Osteoarthritis Diagnosis with Adversarial Learning IJCAI 2024
Mitigating robust overfitting via self-residual-calibration regularization (Abstract Reprint) IJCAI 2024
Exploring Adversarial Robustness of Deep State Space Models NIPS 2024
BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection IJCAI 2024
Textual-Driven Adversarial Purification for Speaker Verification INTERSPEECH 2024
Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization AAAI 2024
Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach IJCAI 2024
IntensPure: Attack Intensity-aware Secondary Domain Adaptive Diffusion for Adversarial Purification IJCAI 2024
GenSeg: On Generating Unified Adversary for Segmentation IJCAI 2024
Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control IJCAI 2024
On the Adversarial Robustness of Benjamini Hochberg NIPS 2024
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning IJCAI 2024
A General Black-box Adversarial Attack on Graph-based Fake News Detectors IJCAI 2024
Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation NIPS 2024
Tolerating Outliers: Gradient-Based Penalties for Byzantine Robustness and Inclusion IJCAI 2024