Ka-Ho Chow

发表

DeepRest: deep resource estimation for interactive microservices

Ling Liu, S. Seshadri, Umesh Deshpande, 2022, EuroSys.

Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics

Wenqi Wei, Zhongwei Xie, Ka-Ho Chow, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A Framework for Evaluating Gradient Leakage Attacks in Federated Learning pdf

Yanzhao Wu, Wenqi Wei, Mehmet Emre Gursoy, 2020, ArXiv.

Efficient Locality Classification for Indoor Fingerprint-Based Systems

Suining He, S.-H. Gary Chan, Jiajie Tan, 2019, IEEE Transactions on Mobile Computing.

LDP-Fed: federated learning with local differential privacy

Wenqi Wei, Ling Liu, Mehmet Emre Gursoy, 2020, EdgeSys@EuroSys.

Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems

Wenqi Wei, Ling Liu, Mehmet Emre Gursoy, 2020, 2020 Second IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA).

Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks

Yanzhao Wu, Calton Pu, Wenqi Wei, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Accurate Prediction of Hourly Energy Consumption in a Residential Building Based on the Occupancy Rate Using Machine Learning Approaches

Saad Mekhilef, Mehdi Seyedmahmoudian, Ben Horan, 2021, Applied Sciences.

Deep Neural Network Ensembles Against Deception: Ensemble Diversity, Accuracy and Robustness

Yanzhao Wu, Wenqi Wei, Ling Liu, 2019, 2019 IEEE 16th International Conference on Mobile Ad Hoc and Sensor Systems (MASS).

TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems pdf

Yanzhao Wu, Wenqi Wei, Mehmet Emre Gursoy, 2020, ArXiv.

Implicit Multimodal Crowdsourcing for Joint RF and Geomagnetic Fingerprinting

Ka-Ho Chow, Jiajie Tan, Hang Wu, 2023, IEEE Transactions on Mobile Computing.

Adversarial Deception in Deep Learning: Analysis and Mitigation

Wenqi Wei, Ling Liu, Mehmet Emre Gursoy, 2020, 2020 Second IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA).

Cross-Layer Strategic Ensemble Defense Against Adversarial Examples

Yanzhao Wu, Wenqi Wei, Ling Liu, 2019, 2020 International Conference on Computing, Networking and Communications (ICNC).

EENet: Learning to Early Exit for Adaptive Inference

R. Kompella, Myungjin Lee, Wenqi Wei, 2023, arXiv.org.

DeepRest

Ling Liu, S. Seshadri, Umesh Deshpande, 2022, Proceedings of the Seventeenth European Conference on Computer Systems.

Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks

Wenqi Wei, C. Pu, Yanzhao Wu, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks

Yanzhao Wu, Wenqi Wei, Ling Liu, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness

Wenqi Wei, Yanzhao Wu, Ling Liu, 2023, 2023 IEEE International Conference on Data Mining (ICDM).

Representation Learning of Pedestrian Trajectories Using Actor-Critic Sequence-to-Sequence Autoencoder pdf

Shueng-Han Gary Chan, Yifeng Zhang, Ka Ho Chow, 2018, ArXiv.

Atlas: Hybrid Cloud Migration Advisor for Interactive Microservices

S. Seshadri, Umesh Deshpande, Ka-Ho Chow, 2023, ArXiv.

Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training

Fatih Ilhan, Ka-Ho Chow, S. Tekin, 2023, NeurIPS.