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Adversarial Learning

58 directly classified papers

Papers per year

Papers

Enhancing Robustness in Incremental Learning with Adversarial Training AAAI 2025
Bridge 2D-3D: Uncertainty-aware Hierarchical Registration Network with Domain Alignment AAAI 2025
MABR: Multilayer Adversarial Bias Removal Without Prior Bias Knowledge AAAI 2025
ASETF: A Novel Method for Jailbreak Attack on LLMs through Translate Suffix Embeddings EMNLP 2024
Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models EMNLP 2024
United We Stand, Divided We Fall: Fingerprinting Deep Neural Networks via Adversarial Trajectories NIPS 2024
Adversarial Attacks on the Interpretation of Neuron Activation Maximization AAAI 2024
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training CVPR 2024
Enhanced Multimodal Representation Learning With Cross-Modal KD CVPR 2023
G-Tuning: Improving Generalization of Pre-trained Language Models with Generative Adversarial Network ACL 2023
SlowBERT: Slow-down Attacks on Input-adaptive Multi-exit BERT ACL 2023
Boosting the Performance of Generic Deep Neural Network Frameworks with Log-supermodular CRFs NIPS 2022
Dual Adversarial Adaptation for Cross-Device Real-World Image Super-Resolution CVPR 2022
Adversarial Soft Prompt Tuning for Cross-Domain Sentiment Analysis ACL 2022
MORA: Improving Ensemble Robustness Evaluation with Model Reweighing Attack NIPS 2022
Is $L^2$ Physics Informed Loss Always Suitable for Training Physics Informed Neural Network? NIPS 2022
Domain Reconstruction for UWB Car Key Localization Using Generative Adversarial Networks AAAI 2022
Privacy-Preserving Face Recognition in the Frequency Domain AAAI 2022
TextFusion: Privacy-Preserving Pre-trained Model Inference via Token Fusion EMNLP 2022
Target-Aware Dual Adversarial Learning and a Multi-Scenario Multi-Modality Benchmark To Fuse Infrared and Visible for Object Detection CVPR 2022
Don’t Say What You Don’t Know: Improving the Consistency of Abstractive Summarization by Constraining Beam Search EMNLP 2022
Exploiting the Relationship Between Kendall's Rank Correlation and Cosine Similarity for Attribution Protection NIPS 2022
Token-Aware Virtual Adversarial Training in Natural Language Understanding AAAI 2021
Generalized Adversarially Learned Inference AAAI 2021
FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations EMNLP 2021