Ph.D. Student [LinkedIn]
School of Computer Science
College of Computing
Georgia Tech
Email: khchow@gatech.edu
Office: Room 3337, Klaus Advanced Computing Building
Address: 266 Ferst Dr, Atlanta, GA 30332-0765 USA

Ka-Ho Chow

Distributed Data Intensive Systems Lab

I am a second-year Ph.D. student in the School of Computer Science at Georgia Institute of Technology (Georgia Tech), under the supervision of Prof. Ling Liu at the Distributed Data Intensive Systems Lab (DiSL). Before joining DiSL, I obtained my Bachelor's and Master's degrees in Computer Science at the Hong Kong University of Science and Technology (HKUST) where I worked at Multimedia Technology Research Center (MTrec) and was supervised by Prof. S.-H. Gary Chan.

Research Interests

Deep Learning; Adversarial Machine Learning; Machine Learning for Systems; Mobile Computing

Publications

[Google Scholar]
  • Ka-Ho Chow, Ling Liu, Margaret Loper, Juhyun Bae, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei and Yanzhao Wu, "Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems," IEEE International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications (TPS), Atlanta, GA, USA, Dec. 1-3, 2020. [PDF] [CODE]
  • Wenqi Wei, Ling Liu, Margaret Loper, Ka-Ho Chow, Mehmet Emre Gursoy, Stacey Truex and Yanzhao Wu, "Adversarial Deception in Deep Learning: Analysis and Mitigation," IEEE International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications (TPS), Atlanta, GA, USA, Dec. 1-3, 2020. [PDF]
  • Yanzhao Wu, Juhyun Bae, Ka-Ho Chow, Wenqi Wei and Ling Liu, "EnsembleBench: An Evaluation Framework for Ensemble Learning," IEEE International Conference on Cognitive Machine Intelligence (CogMI), Atlanta, GA, USA, Dec. 1-3, 2020. [PDF]
  • Ka-Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei and Yanzhao Wu, "Understanding Object Detection Through An Adversarial Lens," European Symposium on Research in Computer Security (ESORICS), Guildford, United Kingdom, Sep. 14-18, 2020. [PDF]
  • Wenqi Wei, Ling Liu, Margaret Loper, Ka-Ho Chow, Mehmet Emre Gursoy, Stacey Truex and Yanzhao Wu, "A Framework for Evaluating Gradient Leakage Attacks in Federated Learning," European Symposium on Research in Computer Security (ESORICS), Guildford, United Kingdom, Sep. 14-18, 2020. [PDF]
  • Stacey Truex, Ling Liu, Ka-Ho Chow, Mehmet Emre Gursoy and Wenqi Wei, "LDP-Fed: Federated Learning with Local Differential Privacy," ACM International Workshop on Edge Systems, Analytics and Networking (EdgeSys), Heraklion, Crete, Greece, Apr. 27, 2020. [PDF]
    🏆 Best Paper Award
  • Wenqi Wei, Ling Liu, Margaret Loper, Ka-Ho Chow, Mehmet Emre Gursoy, Stacey Truex and Yanzhao Wu, "Cross-Layer Strategic Ensemble Defense Against Adversarial Examples," IEEE International Conference on Computing, Networking and Communications (ICNC), Big Island, Hawaii, USA, Feb. 17-20, 2020. [PDF]
  • Lei Yu, Ling Liu, Calton Pu, Ka-Ho Chow, Mehmet Emre Gursoy, Wenqi Wei, Ming Hong, Arun Iyengar, Gong Su, Qi Zhang and Donna Dillenberger, "GRAHIES: Multi-Scale Graph Representation Learning with Latent Hierarchical Structure," IEEE International Conference on Cognitive Machine Intelligence (CogMI), Los Angeles, CA, USA, Dec. 12-14, 2019. [PDF]
  • Ka-Ho Chow, Wenqi Wei, Yanzhao Wu and Ling Liu, "Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks," IEEE International Conference on Big Data, Los Angeles, CA, USA, Dec. 9-12, 2019. [PDF]
  • Yanzhao Wu, Ling Liu, Juhyun Bae, Ka-Ho Chow, Arun Iyengar, Calton Pu, Wenqi Wei, Lei Yu and Qi Zhang, "Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks," IEEE International Conference on Big Data, Los Angeles, CA, USA, Dec. 9-12, 2019. [PDF]
  • Ling Liu, Wenqi Wei, Ka-Ho Chow, Margaret Loper, Mehmet Emre Gursoy, Stacey Truex and Yanzhao Wu, "Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness," IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS), Monterey, CA, USA, Nov. 4-7, 2019. [PDF]
  • Ka-Ho Chow, Suining He, Jiajie Tan and Shueng-Han Gary Chan, "Efficient Locality Classification for Indoor Fingerprint-based Systems," IEEE Transactions on Mobile Computing (TMC), Vol. 18, No. 2, pp. 290-304, February 2019. [PDF]
  • Ka-Ho Chow, Anish Hiranandani, Yifeng Zhang and Shueng-Han Gary Chan, "Representation Learning of Pedestrian Trajectories Using Actor-Critic Sequence-to-Sequence Autoencoder," Technical Report, Hong Kong University of Science and Technology, Nov. 20, 2018. [PDF]

Research and Teaching Experience

  • Georgia Institute of Technology
    • Graduate Research Assistant (Jan. 2019 - Present)
      Distributed Data Intensive Systems Lab
    • Graduate Teaching Assistant (Sep. 2019 - Present)
      CS 6220: Big Data Systems and Analytics (Fall 2020, Fall 2019)
  • IBM Research - Almaden
    • Research Intern (Summer 2020)
      Storage Systems Research Group
      Mentors: Dr. Umesh Deshpande, Dr. Wil Plouffe, Dr. Sangeetha Seshadri
  • Hong Kong University of Science and Technology
    • Graduate Research Assistant (Sep. 2016 - Dec. 2018)
      Multimedia Technology Research Center
    • Graduate Teaching Assistant (Sep. 2016 - Jun. 2018)
      COMP 2012: Object-Oriented Programming and Data Structures (Spring 2018)
      COMP 1021: Introduction to Computer Science (Spring 2017)
      COMP 1029P: Python Programming Bridging Course (Fall 2016)

Presentation

  • IEEE International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications, Atlanta, GA, USA, Dec. 1-3, 2020.
  • European Symposium on Research in Computer Security, Guildford, United Kingdom, Sep. 14-18, 2020.
  • IEEE International Conference on Cognitive Machine Intelligence, Los Angeles, CA, USA, Dec. 12-14, 2019.
  • IEEE International Conference on Big Data, Los Angeles, CA, USA, Dec. 9-12, 2019.
  • Cybersecurity Summit, Institute for Information Security & Privacy, Atlanta, GA, USA, Sep. 10, 2019.

Awards and Achievements

  • Best Paper Award, ACM International Workshop on Edge Systems, Analytics and Networking, 2020
  • Student Travel Award, IEEE International Conference on Big Data, 2019
  • Postgraduate Studentship, HKUST, 2016-2017, 2017-2018
  • Dean's List, HKUST, 2015-2016
  • Hang Lung: Chan Tseng-Hsi Foundation, Hong Kong, 2013-2014
  • Sir Edward Youde Memorial Prize, Hong Kong, 2009-2010

Reviewer

  • ACM Transactions on Internet Technology (TOIT)
  • IEEE Transactions on Mobile Computing (TMC)
  • IEEE International Conference on Computer Communications (INFOCOM) 2017, 2018
  • MDPI ISPRS International Journal of Geo-Information (IJGI)
  • MDPI Sensors