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Mun Choon Chan
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Publications
- 2023
- [j30]Cha Hwan Song, Xin Zhe Khooi, Dinil Mon Divakaran, Mun Choon Chan:
DySO: Enhancing application offload efficiency on programmable switches. Comput. Networks 224: 109607 (2023) - 2022
- [c127]Quoc Phong Nguyen, Ryutaro Oikawa, Dinil Mon Divakaran, Mun Choon Chan, Bryan Kian Hsiang Low:
Markov Chain Monte Carlo-Based Machine Unlearning: Unlearning What Needs to be Forgotten. AsiaCCS 2022: 351-363 - [c123]Kushan Sudheera Kalupahana Liyanage, Tian Zixu, Dinil Mon Divakaran, Mun Choon Chan, Mohan Gurusamy:
APEX: Characterizing Attack Behaviors from Network Anomalies. IPCCC 2022: 207-216 - [c119]Cha Hwan Song, Xin Zhe Khooi, Dinil Mon Divakaran, Mun Choon Chan:
Revisiting Application Offloads on Programmable Switches. IFIP Networking 2022: 1-9 - [i8]Quoc Phong Nguyen, Ryutaro Oikawa, Dinil Mon Divakaran, Mun Choon Chan, Bryan Kian Hsiang Low:
Markov Chain Monte Carlo-Based Machine Unlearning: Unlearning What Needs to be Forgotten. CoRR abs/2202.13585 (2022) - 2019
- [c107]Quoc Phong Nguyen, Kar Wai Lim, Dinil Mon Divakaran, Kian Hsiang Low, Mun Choon Chan:
GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection. CNS 2019: 91-99 - [i3]Quoc Phong Nguyen, Kar Wai Lim, Dinil Mon Divakaran, Kian Hsiang Low, Mun Choon Chan:
GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection. CoRR abs/1903.06661 (2019)
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