Author of the publication

Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems.

, , , , , , , and . TPS-ISA, page 263-272. IEEE, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy., , , , and . CoRR, (2019)Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding., , , and . CoRR, (2021)A Framework for Evaluating Gradient Leakage Attacks in Federated Learning., , , , , , and . CoRR, (2020)Securing Distributed SGD against Gradient Leakage Threats., , , , and . CoRR, (2023)Dynamic Collaborative Fireworks Algorithm and its applications in robust pole assignment optimization., , , , , and . Appl. Soft Comput., (2021)Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks., , , , , , , , and . CoRR, (2019)Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy., , , , and . IEEE Trans. Dependable Secur. Comput., 18 (5): 2365-2378 (2021)A modified fireworks algorithm with dynamic search interval based on closed-loop control., , , , and . Math. Comput. Simul., (2022)Adversarial Resilient and Privacy Preserving Deep learning.. Georgia Institute of Technology, Atlanta, GA, USA, (2023)base-search.net (ftgeorgiatech:oai:repository.gatech.edu:1853/72437).Model Cloaking against Gradient Leakage., , , , and . ICDM, page 1403-1408. IEEE, (2023)