Imagen de Portada

Exploiting Leaderboards for Large-Scale Distribution of Malicious Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Suri, Anshuman, Chaudhari, Harsh, Peng, Yuefeng, Naseh, Ali, Houmansadr, Amir, Oprea, Alina
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Cryptography and Security
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

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

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

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

Diffence: Fencing Membership Privacy With Diffusion Models
por: Peng, Yuefeng, et al.
Publicado: (2023)

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

Backdooring Bias ($B^2$) into Stable Diffusion Models
por: Naseh, Ali, et al.
Publicado: (2024)

Fake or Compromised? Making Sense of Malicious Clients in Federated Learning
por: Mozaffari, Hamid, et al.
Publicado: (2024)

OSLO: One-Shot Label-Only Membership Inference Attacks
por: Peng, Yuefeng, et al.
Publicado: (2024)

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

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

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

Throttling Web Agents Using Reasoning Gates
por: Kumar, Abhinav, et al.
Publicado: (2025)

UTrace: Poisoning Forensics for Private Collaborative Learning
por: Rose, Evan, et al.
Publicado: (2024)

OverThink: Slowdown Attacks on Reasoning LLMs
por: Kumar, Abhinav, et al.
Publicado: (2025)

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

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

Toward a Principled Framework for Agent Safety Measurement
por: Lin, Shuyi, et al.
Publicado: (2026)

Dissecting Distribution Inference
por: Suri, Anshuman, et al.
Publicado: (2022)

RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Adversarial Data Manipulation
por: Pham, Dzung, et al.
Publicado: (2023)

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

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

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

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

Do Parameters Reveal More than Loss for Membership Inference?
por: Suri, Anshuman, et al.
Publicado: (2024)

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

Synthetic Data Can Mislead Evaluations: Membership Inference as Machine Text Detection
por: Naseh, Ali, et al.
Publicado: (2025)

Membership Inference Attacks on Vision-Language-Action Models
por: Peng, Yuefeng, et al.
Publicado: (2026)

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

User Inference Attacks on Large Language Models
por: Kandpal, Nikhil, et al.
Publicado: (2023)

PostMark: A Robust Blackbox Watermark for Large Language Models
por: Chang, Yapei, et al.
Publicado: (2024)

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

Data Extraction Attacks in Retrieval-Augmented Generation via Backdoors
por: Peng, Yuefeng, et al.
Publicado: (2024)

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

Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards
por: Huang, Yangsibo, et al.
Publicado: (2025)

Iteratively Prompting Multimodal LLMs to Reproduce Natural and AI-Generated Images
por: Naseh, Ali, et al.
Publicado: (2024)

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

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

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

VIDSTAMP: A Temporally-Aware Watermark for Ownership and Integrity in Video Diffusion Models
por: Teymoorianfard, Mohammadreza, et al.
Publicado: (2025)