Image de couverture de livre

IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistency

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Hou, Linshan, Feng, Ruili, Hua, Zhongyun, Luo, Wei, Zhang, Leo Yu, Li, Yiming
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Cryptography and Security
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

FLARE: Toward Universal Dataset Purification against Backdoor Attacks
par: Hou, Linshan, et autres
Publié: (2024)

M-to-N Backdoor Paradigm: A Multi-Trigger and Multi-Target Attack to Deep Learning Models
par: Hou, Linshan, et autres
Publié: (2022)

ArcGen: Generalizing Neural Backdoor Detection Across Diverse Architectures
par: Yang, Zhonghao, et autres
Publié: (2025)

DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders
par: Hou, Sizai, et autres
Publié: (2024)

Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency
par: Pal, Soumyadeep, et autres
Publié: (2024)

Detecting Backdoor Attacks via Similarity in Semantic Communication Systems
par: Wei, Ziyang, et autres
Publié: (2025)

Secure Transfer Learning: Training Clean Models Against Backdoor in (Both) Pre-trained Encoders and Downstream Datasets
par: Zhang, Yechao, et autres
Publié: (2025)

A Multi-Scale Graph Learning Framework with Temporal Consistency Constraints for Financial Fraud Detection in Transaction Networks under Non-Stationary Conditions
par: Lei, Yiming, et autres
Publié: (2026)

Backdooring Masked Diffusion Language Models
par: Cao, Daniel Yiming, et autres
Publié: (2026)

UFID: A Unified Framework for Input-level Backdoor Detection on Diffusion Models
par: Guan, Zihan, et autres
Publié: (2024)

Backdoor Sentinel: Detecting and Detoxifying Backdoors in Diffusion Models via Temporal Noise Consistency
par: Wang, Bingzheng, et autres
Publié: (2026)

BAN: Detecting Backdoors Activated by Adversarial Neuron Noise
par: Xu, Xiaoyun, et autres
Publié: (2024)

Camel: Communication-Efficient and Maliciously Secure Federated Learning in the Shuffle Model of Differential Privacy
par: Xu, Shuangqing, et autres
Publié: (2024)

Harnessing Sparsification in Federated Learning: A Secure, Efficient, and Differentially Private Realization
par: Xu, Shuangqing, et autres
Publié: (2025)

UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models
par: Han, Yuning, et autres
Publié: (2024)

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning
par: Jiang, Zhengyuan, et autres
Publié: (2024)

PSBD: Prediction Shift Uncertainty Unlocks Backdoor Detection
par: Li, Wei, et autres
Publié: (2024)

Graph-Aware Stealthy Poison-Text Backdoors for Text-Attributed Graphs
par: Luo, Qi, et autres
Publié: (2026)

CBPF: Filtering Poisoned Data Based on Composite Backdoor Attack
par: Xia, Hanfeng, et autres
Publié: (2024)

Efficient Input-level Backdoor Defense on Text-to-Image Synthesis via Neuron Activation Variation
par: Zhai, Shengfang, et autres
Publié: (2025)

Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control
par: Chow, Ka-Ho, et autres
Publié: (2024)

Fast and Lightweight Backdoor Detection via Head Random Probing
par: Yu, Yinbo, et autres
Publié: (2026)

Yotta: A Large-Scale Trustless Data Trading Scheme for Blockchain System
par: Liu, Xiang, et autres
Publié: (2025)

BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning
par: Wu, Baoyuan, et autres
Publié: (2024)

FairCMS: Cloud Media Sharing with Fair Copyright Protection
par: Xiao, Xiangli, et autres
Publié: (2021)

Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models
par: Wen, Yuxin, et autres
Publié: (2024)

Privacy Backdoors: Stealing Data with Corrupted Pretrained Models
par: Feng, Shanglun, et autres
Publié: (2024)

Reversible Data Hiding over Encrypted Images via Intrinsic Correlation in Block-Based Secret Sharing
par: Zou, Jianhui, et autres
Publié: (2025)

SettleFL: Trustless and Scalable Reward Settlement Protocol for Federated Learning on Permissionless Blockchains (Extended version)
par: Liang, Shuang, et autres
Publié: (2026)

How to Backdoor Consistency Models?
par: Wang, Chengen, et autres
Publié: (2024)

Structure-Aware Distributed Backdoor Attacks in Federated Learning
par: Jian, Wang, et autres
Publié: (2026)

DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks
par: Sui, Hao, et autres
Publié: (2024)

Authority Backdoor: A Certifiable Backdoor Mechanism for Authoring DNNs
par: Yang, Han, et autres
Publié: (2025)

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning
par: Sun, Zhen, et autres
Publié: (2024)

STEP: Detecting Audio Backdoor Attacks via Stability-based Trigger Exposure Profiling
par: Wang, Kun, et autres
Publié: (2026)

Unelicitable Backdoors in Language Models via Cryptographic Transformer Circuits
par: Draguns, Andis, et autres
Publié: (2024)

Backdoor Learning Curves: Explaining Backdoor Poisoning Beyond Influence Functions
par: Cinà, Antonio Emanuele, et autres
Publié: (2021)

Backdoor Federated Learning by Poisoning Backdoor-Critical Layers
par: Zhuang, Haomin, et autres
Publié: (2023)

BURN: Backdoor Unlearning via Adversarial Boundary Analysis
par: Su, Yanghao, et autres
Publié: (2025)

CodePurify: Defend Backdoor Attacks on Neural Code Models via Entropy-based Purification
par: Mu, Fangwen, et autres
Publié: (2024)