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                Licheng Luo
               
              I graduated from MSCS at University of Illinois at Urbana-Champaign, 
                advised by  Prof. Gang Wang . My research interest lies in machine learning and computer security. 
               
              
                I earned my bachelor's degree also from UIUC. In the past few summers, I interned at Veriflow, Google and Facebook writing software tools 
                to document backend endpoints, debug configuration errors, and efficiently handle large amount of data records. 
               
              
                Email  / 
                
                Google Scholar  / 
                LinkedIn
                
               
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              DeepPhish: Understanding User Trust Towards Artificially Generated Profiles in Online Social Networks
               
              Jaron Mink,
              Licheng Luo,
              Natã M. Barbosa,
              Olivia Figueira,
              Yang Wang,
              Gang Wang
               
              Proceedings of The 31st USENIX Security Symposium (USENIX Security)
               
              Boston, MA, USA, August 2022.
               
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              hbACSS: How to Robustly Share Many Secrets
               
              Thomas Yurek, Licheng Luo, Jaiden Fairoze, Aniket Kate and Andrew Miller
               
              Proceedings of The Network and Distributed System Security (NDSS) Symposium 
               
              San Diego, February 2022.
               
              Online preprint
               
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              It's Not What It Looks Like: Manipulating Perceptual Hashing based Applications
               
              Qingying Hao, Licheng Luo, Steve TK Jan, Gang Wang
               
              Proceedings of The ACM Conference on Computer and Communications Security (CCS)
               
              Seoul, South Korea, November 2021.
               
              paper
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              Lord of the Ring(s): Side Channel Attacks on the CPU On-Chip Ring Interconnect Are Practical
               
              Riccardo Paccagnella,
              Licheng Luo,
              Christopher W. Fletcher
               
              Proceedings of The 30th USENIX Security Symposium (USENIX Security) (Artifact Evaluated)
               
              Vancouver, BC, Canada, August 2021.
               
              arXiv
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              Github
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              Teaching Assistant, CS498DL, Introduction to Deep Learning, Spring 2021
               
               
              Teaching Assistant, CS225, Data Structures, Fall 2020, Fall 2021
               
               
              Course Assistant, CS374,  Fall 2019, Spring 2020
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