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Adversarial Learning
4854 directly classified papers
Papers per year
2006: 3
2007: 1
2009: 4
2010: 6
2011: 3
2012: 5
2013: 10
2014: 6
2015: 8
2016: 18
2017: 87
2018: 261
2019: 551
2020: 588
2021: 703
2022: 633
2023: 672
2024: 579
2025: 561
2026: 155
Papers
Feedback-Guided Autonomous Driving
CVPR 2024
HIVE: Harnessing Human Feedback for Instructional Visual Editing
CVPR 2024
Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous Driving
CVPR 2024
GLOW: Global Layout Aware Attacks on Object Detection
CVPR 2024
Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners
CVPR 2024
Adaptive Immune-based Sound-Shape Code Substitution for Adversarial Chinese Text Attacks
EMNLP 2024
Order of Magnitude Speedups for LLM Membership Inference
EMNLP 2024
Alignment-Enhanced Decoding: Defending Jailbreaks via Token-Level Adaptive Refining of Probability Distributions
EMNLP 2024
Open-Set Semi-Supervised Text Classification via Adversarial Disagreement Maximization
ACL 2024
Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks
ACL 2024
What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection
ACL 2024
Stealthy Attack on Large Language Model based Recommendation
ACL 2024
Prompt Optimization via Adversarial In-Context Learning
ACL 2024
Acquiring Clean Language Models from Backdoor Poisoned Datasets by Downscaling Frequency Space
ACL 2024
Safety Alignment in NLP Tasks: Weakly Aligned Summarization as an In-Context Attack
ACL 2024
BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents
ACL 2024
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training
ACL 2024
Adversarial Attacks on Parts of Speech: An Empirical Study in Text-to-Image Generation
EMNLP 2024
Learning from Mistakes: Iterative Prompt Relabeling for Text-to-Image Diffusion Model Training
EMNLP 2024
A Joint Noise Disentanglement and Adversarial Training Framework for Robust Speaker Verification
INTERSPEECH 2024
TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification
ACL 2024
Exploiting Positional Bias for Query-Agnostic Generative Content in Search
ACL 2024
Boosting the Transferability of Adversarial Examples with Gradient-Aligned Ensemble Attack for Speaker Recognition
INTERSPEECH 2024
Fooling the Textual Fooler via Randomizing Latent Representations
ACL 2024
DAGER: Exact Gradient Inversion for Large Language Models
NIPS 2024
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