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data poisoning

128 papers

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Also known as

DPCL

Co-occurring keywords

backdoor attack (377) adversarial attack (1599) adversarial learning (1592) poisoning attack (97) adversarial defense (324) adversarial robustness (1335) adversarial training (1261) model security (118) backdoor defense (54) large language model (12755)

Papers

DIFT: Protecting Contrastive Learning Against Data Poisoning Backdoor Attacks AAAI 2026
HealSplit: Towards Self-Healing Through Adversarial Distillation in Split Federated Learning AAAI 2026
Exploiting Missing Data Remediation Strategies Using Adversarial Missingness Attacks AAAI 2026
On Robustness of Linear Classifiers to Targeted Data Poisoning AAAI 2026
Defending Against Repetitive Backdoor Attacks on Semi-Supervised Learning through Lens of Rate-Distortion-Perception Trade-Off WACV 2025
Data Poisoning for In-context Learning NAACL 2025
PoisonedParrot: Subtle Data Poisoning Attacks to Elicit Copyright-Infringing Content from Large Language Models NAACL 2025
Protecting Model Adaptation from Trojans in the Unlabeled Data AAAI 2025
Two Sides of the Same Coin: Learning the Backdoor to Remove the Backdoor AAAI 2025
Pre-training CLIP against Data Poisoning with Optimal Transport-based Matching and Alignment EMNLP 2025
Swallowing the Poison Pills: Insights from Vulnerability Disparity Among LLMs IJCNLP 2025
Object-Level Backdoor Attacks in RGB-T Semantic Segmentation with Cross-Modality Trigger Optimization IJCAI 2025
SADBA: Self-Adaptive Distributed Backdoor Attack Against Federated Learning AAAI 2025
Backdooring Self-Supervised Contrastive Learning by Noisy Alignment ICCV 2025
Is Poisoning a Real Threat to DPO? Maybe More So Than You Think AAAI 2025
Where the Devil Hides: Deepfake Detectors Can No Longer Be Trusted CVPR 2025
Q-Detection: A Quantum-Classical Hybrid Poisoning Attack Detection Method IJCAI 2025
Cut the Deadwood Out: Backdoor Purification via Guided Module Substitution EMNLP 2025
Adversarial-Inspired Backdoor Defense via Bridging Backdoor and Adversarial Attacks AAAI 2025
Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion Models CVPR 2025
Char-mander Use mBackdoor! A Study of Cross-lingual Backdoor Attacks in Multilingual LLMs EMNLP 2025
Scaling Trends for Data Poisoning in LLMs AAAI 2025
Detecting Stealthy Backdoor Samples based on Intra-class Distance for Large Language Models EMNLP 2025
Fortifying Federated Learning Towards Trustworthiness via Auditable Data Valuation and Verifiable Client Contribution CVPR 2025
Swallowing the Poison Pills: Insights from Vulnerability Disparity Among LLMs AACL 2025