Ang Li
Orcid: 0000-0002-1478-3072Affiliations:
- Duke University, Department of Electrical and Computer Engineering, Durham, NC, USA
- University of Arkansas, Fayetteville, AR, USA (PhD 2018)
According to our database1,
Ang Li
authored at least 65 papers
between 2015 and 2024.
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Bibliography
2024
Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
2023
Privacy-Preserving and Secure Cloud Computing: A Case of Large-Scale Nonlinear Programming.
IEEE Trans. Cloud Comput., 2023
SiDA: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models.
CoRR, 2023
Interpreting Disparate Privacy-Utility Tradeoff in Adversarial Learning via Attribute Correlation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving.
Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction.
Proceedings of the International Conference on Machine Learning, 2023
2022
PrivacyEye: A Privacy-Preserving and Computationally Efficient Deep Learning-Based Mobile Video Analytics System.
IEEE Trans. Mob. Comput., 2022
Toward Efficient and Adaptive Design of Video Detection System with Deep Neural Networks.
ACM Trans. Embed. Comput. Syst., 2022
More Generalized and Personalized Unsupervised Representation Learning In A Distributed System.
CoRR, 2022
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022
SmartCircles: A Benefit-Evaluation-Based Privacy Policy Recommender for Customized Photo Sharing.
Proceedings of the IEEE Smartworld, 2022
FedSEA: A Semi-Asynchronous Federated Learning Framework for Extremely Heterogeneous Devices.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022
Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022
Proceedings of the 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, 2022
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs.
Proceedings of the IEEE International Conference on Data Mining, 2022
Towards collaborative intelligence: routability estimation based on decentralized private data.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
Proceedings of the 8th IEEE International Conference on Collaboration and Internet Computing, 2022
2021
Joint Traffic Control and Multi-Channel Reassignment for Core Backbone Network in SDN-IoT: A Multi-Agent Deep Reinforcement Learning Approach.
IEEE Trans. Netw. Sci. Eng., 2021
IEEE Trans. Cybern., 2021
ACM Trans. Cyber Phys. Syst., 2021
FedMask: Joint Computation and Communication-Efficient Personalized Federated Learning via Heterogeneous Masking.
Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021
FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the ACM MobiCom '21: The 27th Annual International Conference on Mobile Computing and Networking, 2021
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones.
Proceedings of the IoTDI '21: International Conference on Internet-of-Things Design and Implementation, 2021
LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning.
Proceedings of the 6th IEEE/ACM Symposium on Edge Computing, 2021
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021
Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs.
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021
Hermes: Decentralized Dynamic Spectrum Access System for Massive Devices Deployment in 5G.
Proceedings of the EWSN '21: Proceedings of the 2021 International Conference on Embedded Wireless Systems and Networks, 2021
Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021
2020
Proceedings of the Federated Learning - Privacy and Incentive, 2020
Approximate to Be Great: Communication Efficient and Privacy-Preserving Large-Scale Distributed Deep Learning in Internet of Things.
IEEE Internet Things J., 2020
Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective.
CoRR, 2020
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs.
CoRR, 2020
Towards Latency-aware DNN Optimization with GPU Runtime Analysis and Tail Effect Elimination.
CoRR, 2020
Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs.
CoRR, 2020
LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets.
CoRR, 2020
TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework with Anonymized Intermediate Representations.
CoRR, 2020
The QoS and privacy trade-off of adversarial deep learning: An evolutionary game approach.
Comput. Secur., 2020
Proceedings of the Security and Privacy in Communication Networks, 2020
MVStylizer: an efficient edge-assisted video photorealistic style transfer system for mobile phones.
Proceedings of the Mobihoc '20: The Twenty-first ACM International Symposium on Theory, 2020
TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework for Deep Learning with Anonymized Intermediate Representations.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the IEEE Global Communications Conference, 2020
Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
DeepObfuscator: Adversarial Training Framework for Privacy-Preserving Image Classification.
CoRR, 2019
Efficiently Learning a Robust Self-Driving Model with Neuron Coverage Aware Adaptive Filter Reuse.
Proceedings of the 2019 IEEE International Workshop on Signal Processing Systems, 2019
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019
An efficient mobile-edge collaborative system for video photorealistic style transfer.
Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019
An efficient edge-assisted mobile system for video photorealistic style transfer: poster abstract.
Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019
MobiEye: An Efficient Cloud-based Video Detection System for Real-time Mobile Applications.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019
2018
Proceedings of the Security and Privacy in Communication Networks, 2018
Proceedings of the Security and Privacy in Communication Networks, 2018
Proceedings of the Security and Privacy in Communication Networks, 2018
PhotoSafer: Content-Based and Context-Aware Private Photo Protection for Smartphones.
Proceedings of the 2018 IEEE Symposium on Privacy-Aware Computing, 2018
2017
Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications, 2017
Access Control for Distributed Processing Systems: Use Cases and General Considerations.
Proceedings of the 3rd IEEE International Conference on Collaboration and Internet Computing, 2017
2016
Proceedings of the 13th Annual IEEE International Conference on Sensing, 2016
2015
Evaluating the capability and performance of access control policy verification tools.
Proceedings of the 34th IEEE Military Communications Conference, 2015
Leveraging emerging nonvolatile memory in high-level synthesis with loop transformations.
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2015