Adversarial Learning
2,199 papers
Papers per year
2
1
2
6
36
141
225
315
305
314
249
290
272
41
'10
'15
'20
'25
Papers
Maximum Entropy Loss, the Silver Bullet Targeting Backdoor Attacks in Pre-trained Language Models
ACL 2023
mdctGAN: Taming transformer-based GAN for speech super-resolution with Modified DCT spectra
Interspeech 2023
Memorization Weights for Instance Reweighting in Adversarial Training
AAAI 2023
Memory-Aided Contrastive Consensus Learning for Co-salient Object Detection
AAAI 2023
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets
AISTATS 2023
MIR-GAN: Refining Frame-Level Modality-Invariant Representations with Adversarial Network for Audio-Visual Speech Recognition
ACL 2023
Misleading Relation Classifiers by Substituting Words in Texts
ACL 2023
Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation
EMNLP 2023
Mode-Seeking Divergences: Theory and Applications to GANs
AISTATS 2023
MORGAN: Meta-Learning-Based Few-Shot Open-Set Recognition via Generative Adversarial Network
WACV 2023
Multi-Classifier Adversarial Optimization for Active Learning
AAAI 2023
Multispectral Invisible Coating: Laminated Visible-Thermal Physical Attack against Multispectral Object Detectors Using Transparent Low-E Films
AAAI 2023
Multi-View Adversarial Discriminator: Mine the Non-Causal Factors for Object Detection in Unseen Domains
CVPR 2023
NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks
NeurIPS 2023
Neural Architecture Search for Wide Spectrum Adversarial Robustness
AAAI 2023
Neural Topic Modeling based on Cycle Adversarial Training and Contrastive Learning
ACL 2023
On-Device Speaker Anonymization of Acoustic Embeddings for ASR based on Flexible Location Gradient Reversal Layer
Interspeech 2023
One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training
ICML 2023
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization
AAAI 2023
On the Functional Similarity of Robust and Non-Robust Neural Representations
ICML 2023
On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection
ACL 2023
On the Vulnerability of Backdoor Defenses for Federated Learning
AAAI 2023
Open Problem: Is There a First-Order Method that Only Converges to Local Minimax Optima?
COLT 2023
Open Set Relation Extraction via Unknown-Aware Training
ACL 2023
Open-Set Semantic Segmentation for Point Clouds via Adversarial Prototype Framework
CVPR 2023