Adversarial Learning
5,204 papers
Papers per year
3
1
4
6
3
5
10
6
8
18
87
282
558
628
688
663
703
669
694
168
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Papers
Learning to Manipulate Under Limited Information
AAAI 2025
Leveraging Spatial Invariance to Boost Adversarial Transferability
ICCV 2025
LLM-based Adversarial Dataset Augmentation for Automatic Media Bias Detection
NAACL 2025
LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts
ACL 2025
LLM Stinger: Jailbreaking LLMs Using RL Fine-Tuned LLMs (Student Abstract)
AAAI 2025
Logarithmic Width Suffices for Robust Memorization
COLT 2025
LogicNet: A Logical Consistency Embedded Face Attribute Learning Network
WACV 2025
Long-tailed Adversarial Training with Self-Distillation
ICLR 2025
Low-Frequency Black-Box Backdoor Attack via Evolutionary Algorithm
WACV 2025
LPOI: Listwise Preference Optimization for Vision Language Models
ACL 2025
MABR: Multilayer Adversarial Bias Removal Without Prior Bias Knowledge
AAAI 2025
Making Every Step Effective: Jailbreaking Large Vision-Language Models Through Hierarchical KV Equalization
EMNLP 2025
MCGAN: Enhancing GAN Training with Regression-Based Generator Loss
AAAI 2025
Membership Inference Attacks with False Discovery Rate Control
ICCV 2025
Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers
AAAI 2025
Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models
ACL 2025
Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack
ICCV 2025
Mind the Gap: Detecting Black-box Adversarial Attacks in the Making through Query Update Analysis
CVPR 2025
MiniMal: Hard-Label Adversarial Attack Against Static Malware Detection with Minimal Perturbation
IJCAI 2025
Minimizing Queries, Maximizing Impact: Adaptive Score-Based Attack and Defense for Sentiment Analysis
IJCNLP 2025
Misclassification-driven Fingerprinting for DNNs Using Frequency-aware GANs
IJCAI 2025
Mitigating Catastrophic Overfitting in Fast Adversarial Training via Label Information Elimination
ICCV 2025
Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement
AAAI 2025
Mitigating Hallucinated Translations in Large Language Models with Hallucination-focused Preference Optimization
NAACL 2025
Mitigating Interviewer Bias in Multimodal Depression Detection: An Approach with Adversarial Learning and Contextual Positional Encoding
EMNLP 2025