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Short Bio

Dr. Yuan Hong is an Associate Professor in the Department of Computer Science & Engineering at University of Connecticut (UConn). Prior to joining UConn, he was an Assistant Professor in Computer Science and Cybersecurity Program Director at Illinois Institute of Technology. He received his Ph.D degree from Rutgers University in 2014. Before that, he received his M.Sc degree from Concordia University, Montreal, Canada, and B.Sc degree from Beijing Institute of Technology, respectively. He is a recipient of the NSF CAREER Award and Cisco Research Award. He also received a National Physics Olympiad Prize in China.

His research focuses on Differential Privacy (both theory and applications), Secure Multiparty Computation (applied cryptography), Machine Learning Security and Privacy (both attacks and defenses), Cyber-Physical Systems Security and Privacy (IoT, ITS and V2X), and Optimization. His research contributions have been published in prestigious venues of Security (e.g., S&P/Oakland, CCS, PETS, TDSC, TIFS, TOPS), Data Science (e.g., KDD, ECCV, EMNLP, VLDB, ICDE, EDBT, AAMAS, CIKM, ICDM, TKDE), Networking/Systems (e.g., ICDCS, ICCD), and Interdisciplinary Areas (e.g., Engineering and Math). He is a Senior Member of the IEEE (2018), and his research is supported by multiple NSF (e.g., CAREER, SaTC, and OAC) and AFOSR awards.

We are always looking for postdocs, Ph.D. students, visiting scholars/students, and undergraduate researchers. Please email your application materials to Dr. Yuan Hong if you are interested in our research. UConn@CSRankings: Security & Crypto (31st), Overall (67th)


News

  • [Major Security and AI/ML Conference TPC/SPC in 2023] USENIX Security'23, PETS'23, AsiaCCS'23, AAAI'23, AAMAS'23
  • [Major Security and AI/ML Conference TPC/SPC in 2022] CCS'22, PETS'22, ESORICS'22, RAID'22, NeurIPS'22, ICML'22, CVPR'22, KDD'22, ECCV'22, AAAI'22, AAMAS'22
  • [Proposal Review Panelist] NSF SaTC, IIS, CPS, CSR, CNS and NIH
  • [09/2022] Our work on order-preserving desensitization for vertical federated tree boosting is accepted to VLDB'23 (Acceptance Rate: TBD). Congrats!
  • [09/2022] Our work on cryptographic systems for video inference (Crypto3D) is accepted to the poster track of CCS'22. Congrats, Bingyu!
  • [08/2022] Yuan will be advising the CSE Senior Design in the Academic Year 2022-2023
  • [07/2022] Our paper on the new staircase randomized response mechanism (ensuring LDP for Location-Based Services) is accepted to CCS'22 (Acceptance Rate: TBD). Congrats, Han and Hanbin!
  • [07/2022] Our paper on universal certified robustness against any p-norm perturbations is accepted to ECCV'22. Congrats, Hanbin!
  • [06/2022] After working at Illinois Tech for five wonderful years, Yuan and DataSec Lab will move to the CSE Department at the University of Connecticut. Thanks everyone at Illinois Tech!
  • [05/2022] A model-agnostic approach to differentially private topic mining is accepted to KDD'22 (Acceptance Rate: 14.99%). Congrats, Han, Jayashree and Shuya
  • [05/2022] The preliminary result of differentially private instance encoding is accepted to NAACL-SRW'22. Congrats, Shangyu
  • [04/2022] Kai and Yuan received the Cisco Research Award on Explainable AI with Fairness and Privacy (very grateful to Cisco for the generous support)
  • [03/2022] A paper on video data poisoning attack is accepted to TDSC. Congrats, Shangyu
  • [03/2022] Meisam will join the Department of Computer Science at Iowa State University as a Tenure-Track Assistant Professor. Congrats!
  • [03/2022] Bingyu will join Harvard Medical School (HMS) to work on Medical Image Privacy and Robustness as a Postdoctoral Research Associate. Congrats!
  • [03/2022] Shangyu will do research internship at Google in Summer 2022. Congrats!
  • [03/2022] Yuan is invited to serve as the PC Co-Chair at the 21st Workshop on Privacy in the Electronic Society (WPES'22) in Conjunction with CCS'22 in Los Angeles in Nov 2022. Please consider submitting your good work! [Conference, Submission]
  • [03/2022] The 36th DBSEC Conference will be held in New Jersey. Yuan will be the General Co-Chair. Please consider submitting your good work! [Conference, Submission]
  • [01/2022] The paper on private data outsourcing is accepted to present at ICDE'22. Congrats, Shangyu, Meisam, and Han
  • [12/2021] Shangyu will do research internship on Privacy Preserving Machine Learning at Microsoft Research in Spring 2022. Congrats
  • [12/2021] Jayashree will work in the Amazon Web Services (AWS) and will start her part-time Ph.D. in DataSec Lab in 2022. Congrats
  • [12/2021] Kai and Yuan made the finalist on the Facebook (Meta) Research Award with Machine Learning Fairness and Privacy Research
  • [11/2021] A paper on TEE-Blockchain hybrid system for private energy double auction is accepted to Cybersecurity. Congrats, Bingyu
  • [11/2021] Yuan received the College of Computing Excellence in Research Award, and Shangyu received the College of Computing Excellence in Dissertation Research Award, Congrats
  • [11/2021] Yuan will teach CS425 Database Organization (undergraduate) in Spring 2022
  • [10/2021] Jayashree has successfully defended her Master Thesis. Congrats
  • [08/2021] A paper on attacking the privacy of instance encoding for language understanding is accepted to EMNLP'21. Congrats, Shangyu
  • [07/2021] Our project on ITS/V2X/IoT Privacy (Lead PI: Yuan) is funded by the NSF SaTC Core Program (very grateful to NSF SaTC for the generous support)
  • [07/2021] A paper on attacking video recognition systems with universal 3-D perturbations is accepted to S&P'22 (Acceptance Rate: 14.5%). Congrats, Shangyu and Han
  • [05/2021] Yuan will teach CS528 Data Privacy and Security in Fall 2021
  • [04/2021] A paper on privacy and utility preserving data outsourcing (generalized framework for a variety of datasets) is accepted to TKDE. Congrats, Shangyu, Meisam and Han
  • [04/2021] Shangyu will be an Applied Scientist Intern at Amazon Research in Summer 2021. Congrats, Shangyu
  • [04/2021] A poster paper on TEE-Blockchain for Auction is accepted to ICDCS'21. Congrats, Bingyu
  • [03/2021] Yuan receives the NSF CAREER Award (very grateful to NSF SaTC for the generous support)
  • [01/2021] A paper on privacy preserving cloud-based DNN inference is accepted to ICASSP'21. Congrats, Shangyu and Bingyu
  • [11/2020] A paper on multi-view approach to anonymizing network traces is accepted to TOPS. Congrats, Meisam
  • [11/2020] Congratuations to Dr. Meisam Mohammady on sucessfully defending his Ph.D. dissertation (Won the Distinguished Doctoral Thesis Prize), and he will work as a Research Scientist at Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia
  • [10/2020] Yuan will teach CS549 Cryptography in Spring 2021
  • [08/2020] A paper on attacking system log parsers is accepted to CIKM'20 (Acceptance Rate: 25.9%). Congrats, Jingyu and Bingyu
  • [06/2020] A paper on optimizing the randomization for differential privacy is accepted to CCS'20 (Acceptance Rate: 16.9%). Congrats, Meisam and Shangyu
  • [05/2020] A paper on differential privacy (DP) for video analysis is accepted to PETS'20 (Acceptance Rate: 23%). Congrats, Han and Shangyu

Research Areas and Recent/Selected Publications

  • Differential Privacy
    • Local Differential Privacy: Staircase Randomized Response [CCS'22], Distance-based LDP for Vertifical Federated Tree Boosting [VLDB'23]
    • Optimal DP Mechanism Design (DP Theory): R2DP [CCS'20]
    • DP for Unstructured Data: Videos (VideoDP [PETS'20], Indistinguishable Objects [EDBT'20]), Query Log/Textual Data (Optimal Sampling [EDBT'12], Collaborative Sampling [TDSC'15], Topic Mining with DP [KDD'22]), Correlated Trajectories [TDSC'20]
    • DP for DM/ML: DP-NBC [WI'13]
  • Secure Multiparty Computation (MPC) and Cryptosystems
    • CryptoDNN: Crypto3D [CCS'22-P]
    • Property-Preserving Encryption: Multi-view Network Traces [CCS'18, TOPS'21], Inference-Proof Data Outsourcing [ICDE'22, TKDE'21]
    • Cloud Privacy and Integrity: PROUD [ICASSP'21], LiveForen [TIFS'19]
    • MPC Acceleration: Scheduling for Ring ORAM [ICCD'19]
  • Trustworthy Machine Learning: Security/Robustness, Privacy and Fairness
    • ML Security Attacks: U3D on Video DNN [S&P'22], Data Poisoning on Video DNN [TDSC'22], LogBug [CIKM'20]
    • ML Privacy Attacks: Attacking Instance Encoding for NLP [EMNLP'21]
    • ML Security Defenses (Empirical Methods): against Gradient-based Attacks [preprint]
    • ML Certified Robustness: Universal Certified Robustness [ECCV'22], Anisotropic Certified Robustness [preprint]
    • ML Privacy Defenses: see Differential Privacy and Secure Multiparty Computation
    • ML for Privacy: Privacy Attribute Identification [ICPR'20]
  • Cyber-Physical Systems Security and Privacy
    • ITS and V2X: Vehicle Trajectory Data Sanitization [TDSC'21], Dynamic Pricing for Electric Vehicles [T-ITS'21], GPS Spoofing Detection and Correction [Online]
    • MPC for Multi-Agent Systems in the Smart Grid: Private Double Auction for Energy (TEE-Blockchain) [ICDCS'21], Distributed Energy Trading [ICDCS'20], Private Double Auction for Energy (MPC) [AAMAS'20], Distributed Load Balancing (Privacy and Integrity) [AAMAS'19, TIFS'20], Private Energy Exchanging [ICASSP'18]
    • Private Smart Meter Streaming against Inference Attacks [TIFS'17]
  • Optimization

Teaching

  • CSE Design Project: Fall 22, Spring 23
  • Cryptography: Spring 21, Spring 20
  • Data Privacy and Security: Fall 21, Fall 20, Spring 19, Spring 18
  • Database Organization: Spring 22, Fall 19, Fall 18, Fall 17
  • Doctoral Seminar: Spring 18
  • Earlier Teaching: Cybercrime Investigation, E-Discovery Forensics, Computer Network