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20192026
most citedPrivacy-preserving Distributed Machine Learning via Local Randomization and ADMM Perturbation

59 citations · 88 across the 11 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.CR2025

PrivATE: Differentially Private Average Treatment Effect Estimation for Observational Data

Quan Yuan, Xiaochen Li, Linkang Du +6

Causal inference plays a crucial role in scientific research across multiple disciplines. Estimating causal effects, particularly the average treatment effect (ATE), from observati…

cs.CR2025

VICTOR: Dataset Copyright Auditing in Video Recognition Systems

Quan Yuan, Zhikun Zhang, Linkang Du +5

Video recognition systems are increasingly being deployed in daily life, such as content recommendation and security monitoring. To enhance video recognition development, many inst…

cs.RO2025

RoboInspector: Unveiling the Unreliability of Policy Code for LLM-enabled Robotic Manipulation

Chenduo Ying, Linkang Du, Peng Cheng +1

Large language models (LLMs) demonstrate remarkable capabilities in reasoning and code generation, enabling robotic manipulation to be initiated with just a single instruction. The…

cs.CV2025

ArtistAuditor: Auditing Artist Style Pirate in Text-to-Image Generation Models

Linkang Du, Zheng Zhu, Min Chen +5

Text-to-image models based on diffusion processes, such as DALL-E, Stable Diffusion, and Midjourney, are capable of transforming texts into detailed images and have widespread appl…

cs.LG2025

UNIDOOR: A Universal Framework for Action-Level Backdoor Attacks in Deep Reinforcement Learning

Oubo Ma, Linkang Du, Yang Dai +4

Deep reinforcement learning (DRL) is widely applied to safety-critical decision-making scenarios. However, DRL is vulnerable to backdoor attacks, especially action-level backdoors,…