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Adversarial Learning

4854 directly classified papers

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Papers

Adversarial Attack on Black-Box Multi-Agent by Adaptive Perturbation AAAI 2026

Injection, Attack and Erasure: Revocable Backdoor Attacks via Machine Unlearning AAAI 2026

Guided Perturbation Sensitivity (GPS): Detecting Adversarial Text via Embedding Stability and Word Importance AAAI 2026

AT-Field: Rethinking the Games in Adversarial Training AAAI 2026

Fact2Fiction: Targeted Poisoning Attack to Agentic Fact-checking System AAAI 2026

TVChain: Leveraging Textual-Visual Prompt Chains for Jailbreaking Large Vision-Language Models AAAI 2026

Robust Decentralized Multi-armed Bandits: From Corruption-Resilience to Byzantine-Resilience AAAI 2026

Exploiting Missing Data Remediation Strategies Using Adversarial Missingness Attacks AAAI 2026

Adversarial Perturbation Shield: Preventing Concept Bleed-through in Continual Learning of Personalized Generative Models AAAI 2026

Beyond Single-Point Perturbation: A Hierarchical, Manifold-Aware Approach to Diffusion Attacks AAAI 2026

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis AAAI 2026

Debiased Dual-Invariant Defense for Adversarially Robust Person Re-Identification AAAI 2026

Enhancing All-to-X Backdoor Attacks with Optimized Target Class Mapping AAAI 2026

3D-ANC: Adaptive Neural Collapse for Robust 3D Point Cloud Recognition AAAI 2026

StyleBreak: Revealing Alignment Vulnerabilities in Large Audio-Language Models via Style-Aware Audio Jailbreak AAAI 2026

Backdoor Attacks on Open Vocabulary Object Detectors via Multi-Modal Prompt Tuning AAAI 2026

Fading the Digital Ink: A Universal Black-Box Attack Framework for 3DGS Watermarking Systems AAAI 2026

Visual-Friendly Concept Protection via Selective Adversarial Perturbations AAAI 2026

The Illusion of Fairness: Auditing Fairness Interventions in Algorithmic Hiring with Audit Studies AAAI 2026

DAMASHA: Detecting AI in Mixed Adversarial Texts via Segmentation with Human-interpretable Attribution EACL 2026

Are All Prompt Components Value-Neutral? Understanding the Heterogeneous Adversarial Robustness of Dissected Prompt in LLMs EACL 2026

From Pretrain to Pain: Adversarial Vulnerability of Video Foundation Models Without Task Knowledge AAAI 2026

Quality-Aware Adversarial Ensemble for Singer Identification in 1960s Tamil Film Music EACL 2026

Unleashing the Unseen: Harnessing Benign Datasets for Jailbreaking Large Language Models EACL 2026

SPARTA: Evaluating Reasoning Segmentation Robustness through Black-Box Adversarial Paraphrasing in Text Autoencoder Latent Space EACL 2026