Showing results 1 to 19 of 19
| Title | Author(s) | Issue Date | Views | |
|---|---|---|---|---|
A framework for evaluating client privacy leakages in federated learning Proceeding/Conference:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2020 | |||
Adaptive Deep Neural Network Inference Optimization with EENet Proceeding/Conference:Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024 | 2024 | |||
Adversarial Deception in Deep Learning: Analysis and Mitigation Proceeding/Conference:Proceedings - 2020 2nd IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications, TPS-ISA 2020 | 2020 | |||
Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems Proceeding/Conference:Proceedings - 2020 2nd IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications, TPS-ISA 2020 | 2020 | |||
An Adversarial Approach to Protocol Analysis and Selection in Local Differential Privacy Journal:IEEE Transactions on Information Forensics and Security | 2022 | |||
Boosting ensemble accuracy by revisiting ensemble diversity metrics Proceeding/Conference:Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition | 2021 | |||
Cross-Layer Strategic Ensemble Defense Against Adversarial Examples Proceeding/Conference:2020 International Conference on Computing, Networking and Communications, ICNC 2020 | 2020 | |||
Deep neural network ensembles against deception: Ensemble diversity, accuracy and robustness Proceeding/Conference:Proceedings - 2019 IEEE 16th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019 | 2019 | |||
Demystifying Data Poisoning Attacks in Distributed Learning as a Service Journal:IEEE Transactions on Services Computing | 2024 | |||
Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks Proceeding/Conference:Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019 | 2019 | |||
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks Proceeding/Conference:Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019 | 2019 | |||
Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness Proceeding/Conference:Proceedings - IEEE International Conference on Data Mining, ICDM | 2023 | |||
Hierarchical Pruning of Deep Ensembles with Focal Diversity Journal:ACM Transactions on Intelligent Systems and Technology | 2024 | |||
LDP-Fed: Federated learning with local differential privacy Proceeding/Conference:EdgeSys 2020 - Proceedings of the 3rd ACM International Workshop on Edge Systems, Analytics and Networking, Part of EuroSys 2020 | 2020 | |||
Model Cloaking against Gradient Leakage Proceeding/Conference:Proceedings - IEEE International Conference on Data Mining, ICDM | 2023 | |||
Promoting high diversity ensemble learning with ensemblebench Proceeding/Conference:Proceedings - 2020 IEEE 2nd International Conference on Cognitive Machine Intelligence, CogMI 2020 | 2020 | |||
Securing Distributed SGD Against Gradient Leakage Threats Journal:IEEE Transactions on Parallel and Distributed Systems | 2023 | |||
The TSC-PFed Architecture for Privacy-Preserving FL Proceeding/Conference:Proceedings - 2021 3rd IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications, TPS-ISA 2021 | 2021 | |||
Understanding object detection through an adversarial lens Proceeding/Conference:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2020 |