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Adversarial Learning

4854 directly classified papers

Papers per year

Papers

Advancing Process Verification for Large Language Models via Tree-Based Preference Learning EMNLP 2024
ASETF: A Novel Method for Jailbreak Attack on LLMs through Translate Suffix Embeddings EMNLP 2024
FOOL ME IF YOU CAN! An Adversarial Dataset to Investigate the Robustness of LMs in Word Sense Disambiguation EMNLP 2024
Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models EMNLP 2024
Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment EMNLP 2024
The Best Defense is Attack: Repairing Semantics in Textual Adversarial Examples EMNLP 2024
Ranking Manipulation for Conversational Search Engines EMNLP 2024
When Generative Adversarial Networks Meet Sequence Labeling Challenges EMNLP 2024
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator EMNLP 2024
Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning EMNLP 2024
Testing Generated Distributions in GANs to Penalize Mode Collapse AISTATS 2024
Near Optimal Adversarial Attacks on Stochastic Bandits and Defenses with Smoothed Responses AISTATS 2024
Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers AISTATS 2024
Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization AISTATS 2024
Towards Stable Representations for Protein Interface Prediction NIPS 2024
Invariant Aggregator for Defending against Federated Backdoor Attacks AISTATS 2024
Spectrum Extraction and Clipping for Implicitly Linear Layers AISTATS 2024
Effect of Ambient-Intrinsic Dimension Gap on Adversarial Vulnerability AISTATS 2024
On the Vulnerability of Fairness Constrained Learning to Malicious Noise AISTATS 2024
Agnostic Multi-Robust Learning using ERM AISTATS 2024
Fast and Adversarial Robust Kernelized SDU Learning AISTATS 2024
Efficient Neural Architecture Design via Capturing Architecture-Performance Joint Distribution AISTATS 2024
Robust Neural Contextual Bandit against Adversarial Corruptions NIPS 2024
MALT Powers Up Adversarial Attacks NIPS 2024
NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples NIPS 2024