most citedLocal Differential Privacy is Not Enough: A Sample Reconstruction Attack against Federated Learning with Local Differential Privacy

10 citations · 10 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CR2026

Not All Relations Are Equal: Relation-Balanced and Calibrated Graph Learning for Provenance-Based Intrusion Detection

Lijie Zheng, Ji He, Zhiwei Zhang +3

Provenance-Based Intrusion Detection Systems (PIDSs) detect Advanced Persistent Threats (APTs) by analyzing system interactions. However, existing methods largely treat relations u…

cs.CR2026

CT-OpenMax: A Novel Open-Set WiFi RF Fingerprinting Method via Center Constrained Learning and Confidence-Guided Tail Modeling

Yuanyu Zhang, Junjie Yang, Ji He +3

Radio frequency fingerprinting (RFF) enables device authentication from transmitter-specific hardware imperfections, but practical deployment requires cross-environment open-set re…

cs.CR2026

IriSig-Spoof: A Real-World Benchmark for Time-Robust Satellite RF Fingerprinting and Spoofing Detection

Shichang Guo, Yuanyu Zhang, Shuangrui Zhao +3

Low Earth orbit (LEO) satellite Internet is becoming critical communications infrastructure, yet its open wireless links remain vulnerable to satellite impersonation and signal spo…

cs.CR2026

On a General Theoretical Framework for Radio Frequency Fingerprint-Based Authentication

Yuanyu Zhang, Jianing Wang, Shuangrui Zhao +3

While radio frequency fingerprint (RFF)-based wireless device authentication has been widely studied across different datasets and scenarios, there still lacks a fundamental theory…

cs.CR2026

HoRFFI: High-Openness RF Fingerprint Identification with a Similarity-Enhanced Variational Information Bottleneck

Shuiguang Zeng, Yuxiang Shen, Yuanyu Zhang +3

Radio frequency fingerprint identification (RFFI) is a promising technique for wireless device authentication. However, practical RFFI systems must enroll newly authorized devices…

cs.CR2026

GLST: Defending Confidence-Driven V2X Collaborative Perception Against Stealthy Multi-Attacker Feature Injection

Ji He, Ying Wang, Lijie Zheng +3

Collaborative perception (CP) improves autonomous-driving perception by enabling connected vehicles to exchange intermediate features via V2X. Confidence-driven sparse communicatio…

cs.CR2025

CovertAuth: Joint Covert Communication and Authentication in MmWave Systems

Yulin Teng, Keshuang Han, Pinchang Zhang +3

Beam alignment (BA) is a crucial process in millimeter-wave (mmWave) communications, enabling precise directional transmission and efficient link establishment. However, due to cha…

cs.NI2025

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks

Lijie Zheng, Ji He, Shih Yu Chang +1

This paper investigates secure communications in rate-splitting multiple access (RSMA) enabled heterogeneous UAV networks, where multiple UAVs collaboratively serve ground terminal…

cs.CR2025★ 10 cited

Local Differential Privacy is Not Enough: A Sample Reconstruction Attack against Federated Learning with Local Differential Privacy

Zhichao You, Xuewen Dong, Shujun Li +3

Reconstruction attacks against federated learning (FL) aim to reconstruct users' samples through users' uploaded gradients. Local differential privacy (LDP) is regarded as an effec…