Yunlong Mao
Scholar

Yunlong Mao

Google Scholar ID: sT2tWUoAAAAJ
Nanjing University
SecurityPrivacyMachine Learning
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Citations & Impact
All-time
Citations
459
 
H-index
11
 
i10-index
13
 
Publications
20
 
Co-authors
0
 
Publications
7 items
Gradient Mirage: Trainable yet Label-Unidentifiable Gradients in Large Language Model Split Learning
2026
Cited
0
Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints
2026
Cited
0
Secret Stealing Attacks on Local LLM Fine-Tuning through Supply-Chain Model Code Backdoors
2026
Cited
0
Towards Privacy-Preserving LLM Inference via Collaborative Obfuscation (Technical Report)
2026
Cited
0
On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy
2025
Cited
0
SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning
2025
Cited
0
OFL: Opportunistic Federated Learning for Resource-Heterogeneous and Privacy-Aware Devices
2025
Cited
0
Resume
Academic Achievements
  • Published multiple papers in journals and conferences such as IEEE Transactions on Dependable and Secure Computing and USENIX Security Symposium. Served as a program committee member and reviewer for several international conferences and journals.
Research Experience
  • Associate Professor at Nanjing University; member of the COSEC research group led by Prof. Sheng Zhong.
Education
  • Ph.D. and B.S. in Computer Science from Nanjing University, supervised by Prof. Sheng Zhong.
Background
  • Research interests include but are not limited to the security and privacy of artificial intelligence, networks, and systems.
Miscellany
  • Provides a link to a Chinese information page.