Yifan Tian

田一梵


DevOps Engineer, Threat Research
Agari Cyber Intelligence Division (ACID)
Agari Data, Inc.

Bio

I am a DevOps Engineer at Agari Cyber Intelligence Division (ACID), developing state-of-the-art cybercriminal intelligence collection and distribution tools for advanced threat research. I achieved my Ph.D. in Electrical Engineering & Computer Science at Embry-Riddle Aeronautical University under the supervision of Dr. Jiawei Yuan. Before that, I received my M.S. degree from Johns Hopkins University in 2015 and B.Eng. degree from Tongji University in 2014. My research interests mainly focus on data privacy, secure cloud computation and IoT security under conventional client-cloud model as well as trending machine learning / deep learning based scenarios. I am also interested in other security related areas such as phishing, blockchain, intrusion detection/prevention systems, penetration testing, and cryptography etc.

News

  • [Jun 2020] One paper is accepted for publication by IEEE Internet of Things Journal.
  • [May 2020] Our fraud research on Pandemic Unemployment Assistance (PUA) is reported by a spectrum of media including Forbes, Threatpost, SC Media, The Seattle Time, NPR, Yahoo Finance, Washington Post, The Independent, Wired, Axios, Honolulu Star-Advertiser, 21WFMJ etc.
  • [Apr 2020] One paper is accepted for publication by EAI Transaction on Security and Safety.
  • [Feb 2020] Yifan starts to work as a DevOps Engineer for Agari Cyber Intelligence Division (ACID).
  • [Oct 2019] Yifan successfully defended his dissertation "Efficient Privacy-Aware Imagery Data Analysis".
  • Publications

  • Yifan Tian, Laurrent Njilla, Jiawei Yuan and Shucheng Yu, "Low Latency Privacy-preserving Outsourcing of Deep Neural Network Inference", Accepted in IEEE Internet of Things Journal, 2020.
  • Yifan Tian, Jiawei Yuan and Yantian Hou, "CPAR: Cloud-Assisted Privacy-preserving Image Annotation with Randomized KD-Forest", Accepted in EAI Transaction on Security and Safety, 2020.
  • Yifan Tian and Jiawei Yuan, "Toward Practical Query Integrity Verification for NoSQL Databases in Cloud Computing", in the proceeding of the 18th IEEE International Symposium on Network Computing and Applications (NCA), 2019.
  • Yifan Tian, Jiawei Yuan, and Houbing Song, "Efficient Privacy-preserving Authentication Framework for Edge-Assisted Internet of Drones", accepted by Journal of Information Security and Applications (JISA), 2019.
  • Yifan Tian, Jiawei Yuan, Shucheng Yu, Yantian Hou and Houbing Song, "Edge-Assisted CNN Inference over Encrypted Data for Internet of Things". In the proceeding of the 15th International Conference on Security and Privacy in Communication Networks (SecureComm), Orlando, FL, USA, Oct., 2019.
  • Yifan Tian, Jiawei Yuan, and Yantian Hou, "PDF-DS: Privacy-Preserving Data Filtering for Distributed Data Streams in Cloud". In the proceeding of the 5th IEEE International Conference on Smart Data (SmartData), Atlanta, GA, USA, July, 2019.
  • Yifan Tian, Jiawei Yuan and Houbing Song, "Secure and Reliable Decentralized Truth Discovery using Blockchain". In the proceedings of the 2nd International Workshop on Distributed Ledger of Things (DLoT), Washington, USA, June, 2019
  • Yifan Tian, Laurent Njilla, Ashok Raja, Jiawei Yuan, Shucheng Yu, Alexander Steinbacher, Thaniel Tong, and Jayson Tinsley, "Cost-Effective NLOS Detection for Privacy Invasion Attacks by Consumer Drones". In the proceedings of the AIAA/IEEE 38th Digital Avionics Systems Conference (DASC), San Diego, CA, USA, September, 2019.
  • Yifan Tian, Yantian Hou, and Jiawei Yuan, "CAPIA: Cloud Assisted Privacy-preserving Image Annotation", in Proceedings of the 5th IEEE Conference on Communications and Network Security (CNS), Las Vegas, NV USA, October, 2017.
  • Jiawei Yuan and Yifan Tian, "Practical Privacy-Preserving MapReduce Based K-means Clustering over Large-scale Dataset", Accepted in IEEE Transactions on Cloud Computing (TCC), 2017.
  • Michael Hooper, Yifan Tian, Runxuan Zhou, Bin Cao, Adrian P Lauf, Lanier Watkins, William H Robinson, and Wlajimir Alexis, "Securing commercial WiFi-based UAVs from common security attacks", in Proceedings of 35th IEEE Military Communications Conference (Milcom), Baltimore, MD USA, November, 2016.
  • Yifan Tian, Jiawei Yuan and Shucheng Yu, "SBPA: Social Behavior Based Cross Social Network Phishing Attacks", in Proceedings of the 4th IEEE Conference on Communications and Network Security (CNS), Poster Paper, Philadelphia, PA USA, October, 2016.
  • Awards

  • [Sep 2019] IEEE/AIAA DASC 2019 Best of Session Paper
  • [Apr 2018] ERAU ECSSE Department Outstanding Ph.D. Student
  • [Sep 2017] IEEE CNS 2017 NSF/ARO Student Travel Grant
  • [Aug 2016] IEEE CNS 2016 NSF/ARO Student Travel Grant
  • Teaching

  • [CS 225] Computer Science II: Fall 2017, Spring 2018
  • Activities

    • TPC Member
      • IEEE International Workshop on Sensing, Communication, and Control for Unmanned Aerial Systems (SCC-UAV) 2019
    • Reviewer of Journals/Conferences
      • IEEE Transactions on Information Forensics and Security 2020
      • IEEE Transactions on Dependable and Secure Computing 2020
      • Concurrency and Computation Practice and Experience 2020
      • IEEE Transactions on Emerging Topics in Computing 2020
      • IEEE Internet of Things Journal 2020-2021
      • IEEE International Conference on Parallel and Distributed Systems (ICPADS) 2019
      • IEEE 5G World Forum (5GWF) 2019
      • EAI International Conference on Security and Privacy in Communication Networks (SecureComm) 2019
      • IEEE International Workshop on Distributed Ledger of Things (DLoT) 2019
      • IEEE Systems Journal 2019-2020
      • IEEE International Conference on Communications (ICC) 2019-2020
      • ACM Symposium On Applied Computing (SAC) 2019-2020
      • International Conference on Security and Cryptography (SECRYPT) 2018-2019
      • KSII Transactions on Internet and Information Systems 2018
    • Talks & Oral Presentations
      • "Edge-Assisted CNN Inference over Encrypted Data for Internet of Things", Orlando, FL, Oct 2019
      • "Efficient Privacy-Aware Imagery Data Analysis", Daytona Beach, FL, Oct 2019
      • "Secure and Reliable Decentralized Truth Discovery using Blockchain", International Workshop on Distributed Ledger of Things (DLoT), Washington, DC, Jun 2019
      • "Why Duck When You Can Hit Back?", Embry-Riddle Aeronautical University, Daytona Beach, FL, Nov 2018
      • "CAPIA: Cloud Assisted Privacy-preserving Image Annotation", IEEE Conference on Communications and Network Security (CNS), Las Vegas, NV, Oct 2017

    Contacts

    950 Tower Ln 20th floor
    Foster City, CA 94404
    ytian-{AT}-agari-DOT-com

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