Cover Image

UTrace: Poisoning Forensics for Private Collaborative Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rose, Evan, Lycklama, Hidde, Chaudhari, Harsh, Britz, Niklas, Hithnawi, Anwar, Oprea, Alina
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DPolicy: Managing Privacy Risks Across Multiple Releases with Differential Privacy
by: Küchler, Nicolas, et al.
Published: (2025)

Holding Secrets Accountable: Auditing Privacy-Preserving Machine Learning
by: Lycklama, Hidde, et al.
Published: (2024)

Artemis: Efficient Commit-and-Prove SNARKs for zkML
by: Lycklama, Hidde, et al.
Published: (2024)

Thought-Transfer: Indirect Targeted Poisoning Attacks on Chain-of-Thought Reasoning Models
by: Chaudhari, Harsh, et al.
Published: (2026)

SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents
by: Rathbun, Ethan, et al.
Published: (2024)

Text-to-Image Models Leave Identifiable Signatures: Implications for Leaderboard Security
by: Naseh, Ali, et al.
Published: (2025)

Cascading Adversarial Bias from Injection to Distillation in Language Models
by: Chaudhari, Harsh, et al.
Published: (2025)

Exploiting Leaderboards for Large-Scale Distribution of Malicious Models
by: Suri, Anshuman, et al.
Published: (2025)

Fragile Giants: Understanding the Susceptibility of Models to Subpopulation Attacks
by: Gupta, Isha, et al.
Published: (2024)

ACE: A Security Architecture for LLM-Integrated App Systems
by: Li, Evan, et al.
Published: (2025)

R1dacted: Investigating Local Censorship in DeepSeek's R1 Language Model
by: Naseh, Ali, et al.
Published: (2025)

TMI! Finetuned Models Leak Private Information from their Pretraining Data
by: Abascal, John, et al.
Published: (2023)

Adversarial Inception Backdoor Attacks against Reinforcement Learning
by: Rathbun, Ethan, et al.
Published: (2024)

Identifying Models Behind Text-to-Image Leaderboards
by: Naseh, Ali, et al.
Published: (2026)

DROP: Poison Dilution via Knowledge Distillation for Federated Learning
by: Syros, Georgios, et al.
Published: (2025)

Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation
by: Naseh, Ali, et al.
Published: (2025)

Reconstruction of Personally Identifiable Information from Supervised Finetuned Models
by: Furukawa, Sae, et al.
Published: (2026)

Reasoning Introduces New Poisoning Attacks Yet Makes Them More Complicated
by: Foerster, Hanna, et al.
Published: (2025)

Backdoor Attacks in Peer-to-Peer Federated Learning
by: Syros, Georgios, et al.
Published: (2023)

Beware Untrusted Simulators -- Reward-Free Backdoor Attacks in Reinforcement Learning
by: Rathbun, Ethan, et al.
Published: (2026)

Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols
by: He, Longzhu, et al.
Published: (2025)

Phantom: General Backdoor Attacks on Retrieval Augmented Language Generation
by: Chaudhari, Harsh, et al.
Published: (2024)

Black-Box Privacy Attacks on Shared Representations in Multitask Learning
by: Abascal, John, et al.
Published: (2025)

Syntax- and Compilation-Preserving Evasion of LLM Vulnerability Detectors
by: Sun, Luze, et al.
Published: (2026)

Data Poisoning Attacks to Locally Differentially Private Range Query Protocols
by: Liao, Ting-Wei, et al.
Published: (2025)

Hiding Backdoors within Event Sequence Data via Poisoning Attacks
by: Ermilova, Alina, et al.
Published: (2023)

One-shot Empirical Privacy Estimation for Federated Learning
by: Andrew, Galen, et al.
Published: (2023)

Toward Principled LLM Safety Testing: Solving the Jailbreak Oracle Problem
by: Lin, Shuyi, et al.
Published: (2025)

Attacks and Mitigations for Distributed Governance of Agentic AI under Byzantine Adversaries
by: Laws, Matthew D., et al.
Published: (2026)

Pencil: Private and Extensible Collaborative Learning without the Non-Colluding Assumption
by: Liu, Xuanqi, et al.
Published: (2024)

PoolFlip: A Multi-Agent Reinforcement Learning Security Environment for Cyber Defense
by: Cadet, Xavier, et al.
Published: (2025)

GShield: Mitigating Poisoning Attacks in Federated Learning
by: M., Sameera K., et al.
Published: (2025)

Quantitative Resilience Modeling for Autonomous Cyber Defense
by: Cadet, Xavier, et al.
Published: (2025)

Model-agnostic clean-label backdoor mitigation in cybersecurity environments
by: Severi, Giorgio, et al.
Published: (2024)

Local Environment Poisoning Attacks on Federated Reinforcement Learning
by: Ma, Evelyn, et al.
Published: (2023)

Practical, Private Assurance of the Value of Collaboration via Fully Homomorphic Encryption
by: Asghar, Hassan Jameel, et al.
Published: (2023)

Poisoned-MRAG: Knowledge Poisoning Attacks to Multimodal Retrieval Augmented Generation
by: Liu, Yinuo, et al.
Published: (2025)

SAGA: A Security Architecture for Governing AI Agentic Systems
by: Syros, Georgios, et al.
Published: (2025)

Hierarchical Multi-agent Reinforcement Learning for Cyber Network Defense
by: Singh, Aditya Vikram, et al.
Published: (2024)

Poison with Style: A Practical Poisoning Attack on Code Large Language Models
by: Tran, Khang, et al.
Published: (2026)