:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Shi, Shanghao, Wang, Ning, Xiao, Yang, Zhang, Chaoyu, Shi, Yi, Hou, Y. Thomas, Lou, Wenjing
Format:	Preprint
Publié:	2023
Sujets:	Machine Learning
Accès en ligne:	https://arxiv.org/abs/2311.05808
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Enabling Trustworthy Federated Learning via Remote Attestation for Mitigating Byzantine Threats
par: Zhang, Chaoyu, et autres
Publié: (2025)

ProFLingo: A Fingerprinting-based Intellectual Property Protection Scheme for Large Language Models
par: Jin, Heng, et autres
Publié: (2024)

StarCast: A Secure and Spectrum-Efficient Group Communication Scheme for LEO Satellite Networks
par: Zhang, Chaoyu, et autres
Publié: (2025)

MedLeak: Multimodal Medical Data Leakage in Secure Federated Learning with Crafted Models
par: Shi, Shanghao, et autres
Publié: (2024)

Trusting What You Cannot See: Auditable Fine-Tuning and Inference for Proprietary AI
par: Jin, Heng, et autres
Publié: (2026)

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

IU-GUARD: Privacy-Preserving Spectrum Coordination for Incumbent Users under Dynamic Spectrum Sharing
par: Li, Shaoyu, et autres
Publié: (2026)

ClawCoin: An Agentic AI-Native Cryptocurrency for Decentralized Agent Economies
par: Li, Shaoyu, et autres
Publié: (2026)

ARMOR 2025: A Military-Aligned Benchmark for Evaluating Large Language Model Safety Beyond Civilian Contexts
par: Johns, Sydney, et autres
Publié: (2026)

Temporal Misalignment Attacks against Multimodal Perception in Autonomous Driving
par: Shahriar, Md Hasan, et autres
Publié: (2025)

DarkMind: Latent Chain-of-Thought Backdoor in Customized LLMs
par: Guo, Zhen, et autres
Publié: (2025)

AgentDyn: Are Your Agent Security Defenses Deployable in Real-World Dynamic Environments?
par: Li, Hao, et autres
Publié: (2026)

Let the Noise Speak: Harnessing Noise for a Unified Defense Against Adversarial and Backdoor Attacks
par: Shahriar, Md Hasan, et autres
Publié: (2024)

Two Heads Are Better than One: Model-Weight and Latent-Space Analysis for Federated Learning on Non-iid Data against Poisoning Attacks
par: Lyu, Xingyu, et autres
Publié: (2025)

Enhancing Privacy of Spatiotemporal Federated Learning against Gradient Inversion Attacks
par: Zheng, Lele, et autres
Publié: (2024)

Per-element Secure Aggregation against Data Reconstruction Attacks in Federated Learning
par: Suimon, Takumi, et autres
Publié: (2025)

Model Inversion Attack against Federated Unlearning
par: Zhou, Lei, et autres
Publié: (2025)

TraceGuard: Process-Guided Firewall against Reasoning Backdoors in Large Language Models
par: Guo, Zhen, et autres
Publié: (2026)

Federated Domain Generalization with Latent Space Inversion
par: Palakkadavath, Ragja, et autres
Publié: (2025)

DDP-SA: Scalable Privacy-Preserving Federated Learning via Distributed Differential Privacy and Secure Aggregation
par: Wei, Wenjing, et autres
Publié: (2026)

FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning
par: Zhu, Gongxi, et autres
Publié: (2024)

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models
par: Nguyen, Khanh, et autres
Publié: (2025)

GI-SMN: Gradient Inversion Attack against Federated Learning without Prior Knowledge
par: Qian, Jin, et autres
Publié: (2024)

ARES: Scalable and Practical Gradient Inversion Attack in Federated Learning through Activation Recovery
par: Gong, Zirui, et autres
Publié: (2026)

Buffer is All You Need: Defending Federated Learning against Backdoor Attacks under Non-iids via Buffering
par: Lyu, Xingyu, et autres
Publié: (2025)

Res-MIA: A Training-Free Resolution-Based Membership Inference Attack on Federated Learning Models
par: Zare, Mohammad, et autres
Publié: (2026)

Rethinking Jailbreak Detection of Large Vision Language Models with Representational Contrastive Scoring
par: Hua, Peichun, et autres
Publié: (2025)

Low Rank Adaptation for Adversarial Perturbation
par: Liu, Han, et autres
Publié: (2026)

E-MIA: Exam-Style Black-Box Membership Inference Attacks against RAG Systems
par: Guan, Zelin, et autres
Publié: (2026)

SVDefense: Effective Defense against Gradient Inversion Attacks via Singular Value Decomposition
par: Luo, Chenxiang, et autres
Publié: (2025)

Closing the Visibility Gap: A Monitoring Framework for Verifiable Open RAN Operations
par: Yu, Hexuan, et autres
Publié: (2025)

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators
par: Scassola, Davide, et autres
Publié: (2026)

SeqMIA: Sequential-Metric Based Membership Inference Attack
par: Li, Hao, et autres
Publié: (2024)

Dealing Doubt: Unveiling Threat Models in Gradient Inversion Attacks under Federated Learning, A Survey and Taxonomy
par: Shi, Yichuan, et autres
Publié: (2024)

Fast-MIA: Efficient and Scalable Membership Inference for LLMs
par: Takahashi, Hiromu, et autres
Publié: (2025)

FAROS: Robust Federated Learning with Adaptive Scaling against Backdoor Attacks
par: Hu, Chenyu, et autres
Publié: (2026)

Securing Federated Sensitive Topic Classification against Poisoning Attacks
par: Chu, Tianyue, et autres
Publié: (2022)

URVFL: Undetectable Data Reconstruction Attack on Vertical Federated Learning
par: Yao, Duanyi, et autres
Publié: (2024)

Practical Feasibility of Gradient Inversion Attacks in Federated Learning
par: Valadi, Viktor, et autres
Publié: (2025)

Scalable and Optimal Security Allocation in Networks against Stealthy Injection Attacks
par: Nguyen, Anh Tung, et autres
Publié: (2024)