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20172026
most citedWhen Machine Unlearning Jeopardizes Privacy

175 citations · 562 across the 37 of their papers we have counts for

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Showing 2025Show all

8 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.LG2025

Consistent Estimation of Numerical Distributions under Local Differential Privacy by Wavelet Expansion

Puning Zhao, Zhikun Zhang, Bo Sun +4

Distribution estimation under local differential privacy (LDP) is a fundamental and challenging task. Significant progresses have been made on categorical data. However, due to dif…

cs.SE2025

Scrub It Out! Erasing Sensitive Memorization in Code Language Models via Machine Unlearning

Zhaoyang Chu, Yao Wan, Zhikun Zhang +7

While Code Language Models (CLMs) have demonstrated superior performance in software engineering tasks such as code generation and summarization, recent empirical studies reveal a…

cs.CR2025

GradEscape: A Gradient-Based Evader Against AI-Generated Text Detectors

Wenlong Meng, Shuguo Fan, Chengkun Wei +5

In this paper, we introduce GradEscape, the first gradient-based evader designed to attack AI-generated text (AIGT) detectors. GradEscape overcomes the undifferentiable computation…

cs.CR2025

Bilateral Differentially Private Vertical Federated Boosted Decision Trees

Bokang Zhang, Zhikun Zhang, Haodong Jiang +5

Federated learning is a distributed machine learning paradigm that enables collaborative training across multiple parties while ensuring data privacy. Gradient Boosting Decision Tr…

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.CR2025

CIBPU: A Conflict-Invisible Secure Branch Prediction Unit

Zhe Zhou, Fei Tong, Hongyu Wang +4

Previous schemes for designing secure branch prediction unit (SBPU) based on physical isolation can only offer limited security and significantly affect BPU's prediction capability…