Chow Ka Ho 周嘉豪

  • Scholarship in 2021 at Georgia Institute of Technology

I am a research scientist at IBM Research. I was named a Croucher Scholar in 2021 and an IBM PhD Fellow in 2022. My research strives to promote end-to-end trustworthiness in AI systems through a cybersecurity lens. I received my PhD in Computer Science at the Georgia Institute of Technology (Georgia Tech) under the supervision of Prof. Ling Liu. Prior to that, I obtained my Bachelor's and Master's degrees in Computer Science and Engineering at the Hong Kong University of Science and Technology (HKUST), supervised by Prof. S.-H. Gary Chan. For more details, please visit https://khchow.com.

Selected Publications

  • Wenqi Wei, Ling Liu, Jingya Zhou, Ka-Ho Chow, and Yanzhao Wu, "Securing Distributed SGD against Gradient Leakage Threats," IEEE Transactions on Parallel and Distributed Systems (TPDS), to appear.
  • Ka-Ho Chow, Ling Liu, Wenqi Wei, Fatih Ilhan, and Yanzhao Wu, "STDLens: Model Hijacking-Resilient Federated Learning for Object Detection," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, Jun. 18-22, 2023.
  • Ka-Ho Chow, Umesh Deshpande, Veera Deenadhayalan, Sangeetha Seshadri, and Ling Liu, "SCAD: Scalability Advisor for Interactive Microservices on Hybrid Clouds," ACM SIGMOD International Conference on Management of Data (SIGMOD), Seattle, WA, USA, Jun. 18-23, 2023.
  • Fatih Ilhan, Selim Furkan Tekin, Sihao Hu, Tiansheng Huang, Ka-Ho Chow, and Ling Liu, "Hierarchical Deep Neural Network Inference for Device-Edge-Cloud Systems," The Web Conference (WWW), Austin, TX, USA, May 1-4, 2023.
  • Jiajie Tan, Hang Wu, Ka-Ho Chow, and Shueng-Han Gary Chan, "Implicit Multimodal Crowdsourcing for Joint RF and Geomagnetic Fingerprinting," IEEE Transactions on Mobile Computing (TMC), Vol. 22, No. 2, pp. 935-950, February 2023.
  • Ka-Ho Chow and Ling Liu, "Boosting Object Detection Ensembles with Error Diversity," IEEE International Conference on Data Mining (ICDM), Orlando, FL, USA, Nov. 28 - Dec. 1, 2022.
  • Mehmet Emre Gursoy, Ling Liu, Ka-Ho Chow, Stacey Truex, and Wenqi Wei, "An Adversarial Approach to Protocol Analysis and Selection in Local Differential Privacy," IEEE Transactions on Information Forensics and Security (TIFS), Vol. 17, pp. 1785-1799, May 2022.
  • Ka-Ho Chow, Umesh Deshpande, Sangeetha Seshadri, and Ling Liu, "DeepRest: Deep Resource Estimation for Interactive Microservices," ACM European Conference on Computer Systems (EuroSys), Rennes, France, Apr. 5-8, 2022.
  • Ka-Ho Chow and Ling Liu, "Robust Object Detection Fusion Against Deception," ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), Singapore, Aug. 14-18, 2021.
  • Ka-Ho Chow, Umesh Deshpande, Sangeetha Seshadri, and Ling Liu, "SRA: Smart Recovery Advisor for Cyber Attacks," ACM SIGMOD International Conference on Management of Data (SIGMOD), Xi'an, Shaanxi, China, Jun. 20-25, 2021.
  • Yanzhao Wu, Ling Liu, Zhongwei Xie, Ka-Ho Chow, and Wenqi Wei, "Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, TN, USA, Jun. 19-25, 2021.
  • 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.
  • 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.
  • 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 (BigData), Los Angeles, CA, USA, Dec. 9-12, 2019.
  • 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.