hit counter

Short Bio

Dr. Yuan Hong is an Assistant Professor of Computer Science at Illinois Institute of Technology since 2017. He co-established and currently directs the new Cybersecurity program at Illinois Tech. He received the NSF CAREER Award in 2021. He received his Ph.D degree in Information Technology from Rutgers University in 2014. Before that, he received his M.Sc in Computer Science from Concordia University, Montreal, Canada, and B.Sc. in Information Systems from Beijing Institute of Technology, respectively. He also received a National Physics Olympiad Prize in China.

His research focuses on differential privacy, secure multiparty computation, machine learning security and privacy (both attacks and defenses), cyber-physical systems security and privacy (smart grid, intelligent transportation and V2X), and optimization. His research contributions have been published in prestigious venues of Security (Oakland, CCS, PETS, TDSC, TIFS, TOPS), Data Science (EMNLP, AAMAS, CIKM, EDBT, ICDM, TKDE), Networking/Systems (ICDCS, ICCD), and Interdisciplinary Areas (T-ITS, TEM, TMIS, Operational Research, Optimization Letters). He is a Senior Member of the IEEE (2018), and his research is supported by multiple NSF (e.g., CAREER, SaTC-21, SaTC-17 and OAC) and AFOSR awards.

Multiple funded Ph.D. positions are open in our DataSec Lab. Please email your application materials to Dr. Yuan Hong if you are interested in Security and Privacy research.


News

  • [Recent TPC/SPC] CCS'22, PETS'22, ESORICS'22, CVPR'22, AAAI'22, AAMAS'22, PETS'21, ICCV'21, CVPR'21, AAAI'21, AAMAS'21
  • [Proposal Review Panels] Serving on the panels for NSF SaTC, IIS, CPS, CSR, CNS and NIH
  • [12/2021] Shangyu will do research internship on Privacy Preserving Machine Learning at Microsoft Research in 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 "Privately Collecting and Analyzing V2X Data for Urban Traffic Modeling" (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 Oakland'22 (Acceptance Rate: 15.1%). 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) [University News]
  • [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
    • DP Theory: R2DP [CCS'20]
    • DP for Unstructured Data: Videos (VideoDP [PETS'20], Random Response based Indistinguishable Objects [EDBT'20]), Query Log/Textual Data (Optimal Sampling [EDBT'12], Collaborative Sampling [TDSC'15]), Correlated Trajectories [TDSC'20]
    • DP for DM/ML: DP-NBC [WI'13]
  • Secure Multiparty Computation (MPC) and Cryptosystems
    • Property-Preserving Encryption: Multi-view Network Traces [CCS'18, TOPS'21], Inference-Proof Data Outsourcing [TKDE'21]
    • Cloud Privacy and Integrity: PROUD [ICASSP'21], LiveForen [TIFS'19]
    • MPC Acceleration: Scheduling for Ring ORAM [ICCD'19]
  • Machine Learning Security and Privacy
    • ML Security Attacks: U3D on Video DNN [Oakland'22], LogBug [CIKM'20]
    • ML Privacy Attacks: Attacking Instance Encoding for NLP [EMNLP'21]
    • ML Security Defenses/Robustness: TBD
    • 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]
  • ML and Optimization