Jin-Dong Dong

According to our database, Jin-Dong Dong authored at least 8 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Flow Correlation Attacks on Tor Onion Service Sessions with Sliding Subset Sum.

Daniela Lopes, Jin-Dong Dong, Pedro Medeiros, Daniel Castro, Diogo Barradas, Bernardo Portela, João Vinagre, Bernardo Ferreira, Nicolas Christin, Nuno Santos

Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

2022

On recruiting and retaining users for security-sensitive longitudinal measurement panels.

Akira Yamada, Kyle Crichton, Yukiko Sawaya, Jin-Dong Dong, Sarah Pearman, Ayumu Kubota, Nicolas Christin

Proceedings of the Eighteenth Symposium on Usable Privacy and Security, 2022

Poster: User Sessions on Tor Onion Services: Can Colluding ISPs Deanonymize Them at Scale?

Daniela Lopes, Pedro Medeiros, Jin-Dong Dong, Diogo Barradas, Bernardo Portela, João Vinagre, Bernardo Ferreira, Nicolas Christin, Nuno Santos

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021

Towards Understanding Cryptocurrency Derivatives: A Case Study of BitMEX.

Kyle Soska, Jin-Dong Dong, Alex Khodaverdian, Ariel Zetlin-Jones, Bryan R. Routledge, Nicolas Christin

Proceedings of the WWW '21: The Web Conference 2021, 2021

2018

PPP-Net: Platform-aware Progressive Search for Pareto-optimal Neural Architectures.

Jin-Dong Dong, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, Min Sun

Proceedings of the 6th International Conference on Learning Representations, 2018

Searching toward pareto-optimal device-aware neural architectures.

An-Chieh Cheng, Jin-Dong Dong, Chi-Hung Hsu, Shu-Huan Chang, Min Sun, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan

Proceedings of the International Conference on Computer-Aided Design, 2018

DPP-Net: Device-Aware Progressive Search for Pareto-Optimal Neural Architectures.

Jin-Dong Dong, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, Min Sun

Proceedings of the Computer Vision - ECCV 2018, 2018

Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos.

Hsien-Tzu Cheng, Chun-Hung Chao, Jin-Dong Dong, Hao-Kai Wen, Tyng-Luh Liu, Min Sun

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018