Showing results 1 to 19 of 19
| Title | Author(s) | Issue Date | |
|---|---|---|---|
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 | ||
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 | ||
Model Cloaking against Gradient Leakage Proceeding/Conference:Proceedings - IEEE International Conference on Data Mining, ICDM | 2023 | ||
On the Efficiency of Privacy Attacks in Federated Learning Proceeding/Conference:Workshop on Federated Learning for Computer Vision - FedVision 2024 (17/06/2024-17/06/2024, Seattle) | 17-Jun-2024 | ||
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 | ||
STDLens: Model Hijacking-Resilient Federated Learning for Object Detection Proceeding/Conference:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (17/06/2023-24/06/2023, Vancouver, BC, Canada) | 17-Jun-2023 | ||
Transparent Network Memory Storage for Efficient Container Execution in Big Data Clouds Proceeding/Conference:Proceedings - 2021 IEEE International Conference on Big Data, Big Data 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 | ||
ZipZap: Efficient Training of Language Models for Ethereum Fraud Detection Proceeding/Conference:ACM Web Conference 2024 (13/05/2024-17/05/2024, Singapore) | 13-May-2024 |