conftrace_

backdoor detection

32 papers

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Co-occurring keywords

backdoor attack (385) adversarial learning (1595) neural network security (46) model security (118) neural network (6616) adversarial attack (1621) trigger inversion (9) trojan detection (9) poisoned sample (8) poisoned datum (7)

Papers

An LLM-based Quantitative Framework for Evaluating High-Stealthy Backdoor Risks in OSS Supply Chains AAAI 2026
DUP: Detection-guided Unlearning for Backdoor Purification in Language Models AAAI 2026
ConfGuard: A Simple and Effective Backdoor Detection for Large Language Models AAAI 2026
Probing Semantic Insensitivity for Inference-Time Backdoor Defense in Multimodal Large Language Model AAAI 2026
Rethinking Backdoor Detection Evaluation for Language Models EMNLP 2025
Test-Time Backdoor Detection for Object Detection Models CVPR 2025
PSBD: Prediction Shift Uncertainty Unlocks Backdoor Detection CVPR 2025
UFID: A Unified Framework for Black-box Input-level Backdoor Detection on Diffusion Models AAAI 2025
DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders CVPR 2025
Detecting Stealthy Backdoor Samples based on Intra-class Distance for Large Language Models EMNLP 2025
Scanning Trojaned Models Using Out-of-Distribution Samples NIPS 2024
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift AAAI 2024
UMA: Facilitating Backdoor Scanning via Unlearning-Based Model Ablation AAAI 2024
Attack To Defend: Exploiting Adversarial Attacks for Detecting Poisoned Models CVPR 2024
Task-Agnostic Detector for Insertion-Based Backdoor Attacks NAACL 2024
SEER: Backdoor Detection for Vision-Language Models through Searching Target Text and Image Trigger Jointly AAAI 2024
LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning CVPR 2024
BAN: Detecting Backdoors Activated by Adversarial Neuron Noise NIPS 2024
On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem AISTATS 2024
Rethinking Interpretation: Input-Agnostic Saliency Mapping of Deep Visual Classifiers AAAI 2023
Single Image Backdoor Inversion via Robust Smoothed Classifiers CVPR 2023
A Unified Detection Framework for Inference-Stage Backdoor Defenses NIPS 2023
Detecting Backdoors in Pre-Trained Encoders CVPR 2023
PolicyCleanse: Backdoor Detection and Mitigation for Competitive Reinforcement Learning ICCV 2023
Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias ACL 2023