adversarial learning

1592 papers

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Also known as

DAL ADAL ALI ASA GAN AGR AL ADC AAL

Co-occurring keywords

domain adaptation (4578) generative adversarial network (1939) adversarial training (1261) backdoor attack (377) neural network (6616) representation learning (6174) adversarial attack (1599) large language model (12755) adversarial robustness (1335) text classification (6776)

Papers

Adversarial Fair Incomplete Multi-View Clustering AAAI 2026

ALERT: Adversarial Learning Enhanced Stability-aware Routing Transformer for Adaptive Depression Detection AAAI 2026

When Prompt Optimization Becomes Jailbreaking: Adaptive Red-Teaming of Large Language Models EACL 2026

Certified but Fooled! Breaking Certified Defenses with Ghost Certificates AAAI 2026

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

BeDKD: Backdoor Defense Based on Directional Mapping Module and Adversarial Knowledge Distillation AAAI 2026

Lose Your Self (LoYS): An Adversarial Entropy-based Unsupervised Approach for Model Debiasing WACV 2026

Are My Optimized Prompts Compromised? Exploring Vulnerabilities of LLM-based Optimizers EACL 2026

Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation AAAI 2026

Angular Gradient Sign Method: Uncovering Vulnerabilities in Hyperbolic Networks AAAI 2026

LSHFed: Robust and Communication-Efficient Federated Learning with Locally-Sensitive Hashing Gradient Mapping AAAI 2026

Learning Fair Representations with Kolmogorov-Arnold Networks AAAI 2026

FairGC: Fostering Individual and Group Fairness for Deep Graph Clustering AAAI 2026

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

CaRS: A Causal Intervention Segmentation Framework and Benchmark Dataset for Autonomous Driving under Transitional Weather Conditions WACV 2026

Patch Your Matcher: Correspondence-Aware Image-to-Image Translation Unlocks Cross-Modal Matching via Single-Modality Priors WACV 2026

UltraClean: A Simple Framework to Train Robust Neural Networks against Backdoor Attacks WACV 2026

Mitigating Backdoor Attacks via Trigger Reconstruction and Model Hardening WACV 2026

Adversarial Decoding: Generating Readable Documents for Adversarial Objectives EACL 2026

VILTA: A VLM-in-the-Loop Adversary for Enhancing Driving Policy Robustness AAAI 2026

Divide-and-Conquer Decoupled Network for Cross-Domain Few-Shot Segmentation AAAI 2026

Stabilizing Cross-Modal Bidirectional Attribution: Few-Shot Adversarial Prompt Tuning for Robust Vision-Language Models AAAI 2026

MTAttack: Multi-Target Backdoor Attacks Against Large Vision-Language Models AAAI 2026

Good Gradients Poison Your Model: Evading Defenses in Federated Learning via Boundary-adaptive Perturbation AAAI 2026

Feature Compression May Be the Root Cause of Adversarial Fragility in Neural Network Classifiers (Student Abstract) AAAI 2026