conftrace_

backdoor attack

385 papers

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Also known as

BA

Co-occurring keywords

adversarial learning (1595) adversarial attack (1621) model security (118) data poisoning (128) neural network (6616) federated learning (1333) adversarial defense (325) poisoning attack (98) large language model (13587) neural network security (46)

Papers

Breaking the Stealth-Potency Trade-off in Clean-Image Backdoors with Generative Trigger Optimization AAAI 2026

AdvBDGen: A Robust Framework for Generating Adaptive and Stealthy Backdoors in LLM Alignment AAAI 2026

Clean-Label Physical Backdoor Attacks with Data Distillation AAAI 2026

REMISVFU: Vertical Federated Unlearning via Representation Misdirection for Intermediate Output Feature AAAI 2026

Hidden in the Noise: Unveiling Backdoors in Audio LLMs Alignment Through Latent Acoustic Pattern Triggers AAAI 2026

Uncovering and Aligning Anomalous Attention Heads to Defend Against NLP Backdoor Attacks AAAI 2026

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

Poisoned Distillation: Injecting Backdoors into Distilled Datasets Without Raw Data Access AAAI 2026

Dormant Backdoor: Weaponizing Model Finetuning for Feasible Backdoor Attacks Against Pretrained Models AAAI 2026

DoBlock: Blocking Malicious Association Propagation for Backdoor-Robust Federated Learning Under Domain Skew AAAI 2026

Persistent Backdoor Attacks Under Continual Fine-Tuning of LLMs AAAI 2026

Backdooring Rationalization AAAI 2026

BadThink: Triggered Overthinking Attacks on Chain-of-Thought Reasoning in Large Language Models AAAI 2026

PurMM: Attention-Guided Test-Time Backdoor Purification in Multimodal Large Language Models AAAI 2026

Mitigating Backdoor Attacks via Trigger Reconstruction and Model Hardening WACV 2026

SD-CSFL: A Synthetic Data-Driven Conformity Scoring Framework for Robust Federated Learning WACV 2026

Modulation-Based Backdoors: Leveraging Amplitude and Frequency Patterns to Attack Speaker Recognition AAAI 2026

Transferable Backdoor Attacks for Code Models via Sharpness-Aware Adversarial Perturbation AAAI 2026

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

FRBAT: Conditionally-Visible Physical Backdoor Attack via Fluorescence AAAI 2026

Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models AAAI 2026

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

FILTER: A Framework for Defending Against Backdoor Attacks in Vertical Federated Learning AAAI 2026

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

MOBA: A Material-Oriented Backdoor Attack Against LiDAR-Based 3D Object Detection Systems AAAI 2026