Xinjian Luo
Tenured Track Associate Professor
Works on privacy and security risks of distributed machine learning systems.
Xinjian Luo's lab at SJTU works on trustworthy & safe ML and distributed, cloud & edge systems. 9 papers since 2023, 5 at top venues, mostly CCS and NDSS. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 56%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 2 papers2026 · T1 1 · collecting
- 4 papers2025 · T1 2
- 3 papers2024 · T1 2
- 0 papers2023 · T1 0
T1 venuesOtherVenues: CCS, NDSS, S&P, TKDD, TKDE
Research focuspaper titles that use each topic's words
- Distributed, cloud & edge systems2 papers
- Trustworthy & safe ML1 paper
- risks1 paper
- distributed machine0 papers
- learning systems0 papers
Paper list
From the lab homepage.
20262 papers
- The ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDDBlack-Box Embedding Inversion Attack on Vector Databases
- USENIX Security (T1)Overcoming the Retrieval Barrier: Indirect Prompt Injection in the Wild for LLM Systems
20254 papers
- The International Conference on Very Large Data Bases (VLDBCalibrating Noise for Group Privacy in Subsampled Mechanisms (opens in a new tab)
- TKDDExploiting Defenses Against GAN-Based Feature Inference Attacks in Federated Learning (opens in a new tab)
- NDSS (T1)Passive Inference Attacks on Split Learning via Adversarial Regularization (opens in a new tab)
- CCS (T1)Prompt Inference Attack on Distributed Large Language Model Inference Frameworks (opens in a new tab)
20243 papers
- IEEE Transactions on Information Forensics and SecurityExploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective (opens in a new tab)
- TKDE (T1)On Data Distribution Leakage in Cross-Silo Federated Learning (opens in a new tab)
- S&P (T1)Protecting Label Distribution in Cross-Silo Federated Learning (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to SJTUFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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- USGeorgia Tech
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
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- Papers
- The lab homepage
- Members
- Not collected
- Alumni
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Tiers are venue classifications, not lab rankings.
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