Dake Chen

30 papers A* 2A 1Misc 1Journal 16Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Multi-station water level forecasting using advanced graph convolutional networks with adversarial learning.
Geo spatial Inf. Sci.
Xinhai Han, Xiaohui Li, JingSong Yang, Jiuke Wang, Guoqi Han, Jun Ding, Hui Shen, Jun Yan, Dake Chen
2024 — conf
DIA: Diffusion based Inverse Network Attack on Collaborative Inference.
CVPR Workshops
Dake Chen, Shiduo Li, Yuke Zhang, Chenghao Li, Souvik Kundu, Peter A. Beerel
2024 J jnl
LoyalDiffusion: A Diffusion Model Guarding Against Data Replication.
CoRR
Chenghao Li, Yuke Zhang, Dake Chen, Jingqi Xu, Peter A. Beerel
2024 Misc conf
Mitigate Replication and Copying in Diffusion Models with Generalized Caption and Dual Fusion Enhancement.
ICASSP
Chenghao Li, Dake Chen, Yuke Zhang, Peter A. Beerel
2024 J jnl
Quantitative causality, causality-guided scientific discovery, and causal machine learning.
CoRR
X. San Liang, Dake Chen, Renhe Zhang
2024 — conf
What Makes Vision Transformers Robust Towards Bit-Flip Attack?
ICPR (8)
Xuan Zhou, Souvik Kundu, Dake Chen, Jie Huang, Peter A. Beerel
2023 A* conf
C
DAC
Yuke Zhang, Dake Chen, Souvik Kundu, Haomei Liu, Ruiheng Peng, Peter A. Beerel
2023 J jnl
C2PI: An Efficient Crypto-Clear Two-Party Neural Network Private Inference.
CoRR
Yuke Zhang, Dake Chen, Souvik Kundu, Haomei Liu, Ruiheng Peng, Peter A. Beerel
2023 J jnl
GameGPT: Multi-agent Collaborative Framework for Game Development.
CoRR
Dake Chen, Hanbin Wang, Yunhao Huo, Yuzhao Li, Haoyang Zhang
2023 — conf
Island-based Random Dynamic Voltage Scaling vs ML-Enhanced Power Side-Channel Attacks.
ACM Great Lakes Symposium on VLSI
Dake Chen, Christine Goins, Maxwell Waugaman, Georgios D. Dimou, Peter A. Beerel
2023 J jnl
Island-based Random Dynamic Voltage Scaling vs ML-Enhanced Power Side-Channel Attacks.
CoRR
Dake Chen, Christine Goins, Maxwell Waugaman, Georgios D. Dimou, Peter A. Beerel
2023 — conf
Making Models Shallow Again: Jointly Learning to Reduce Non-Linearity and Depth for Latency-Efficient Private Inference.
CVPR Workshops
Souvik Kundu, Yuke Zhang, Dake Chen, Peter A. Beerel
2023 J jnl
Making Models Shallow Again: Jointly Learning to Reduce Non-Linearity and Depth for Latency-Efficient Private Inference.
CoRR
Souvik Kundu, Yuke Zhang, Dake Chen, Peter A. Beerel
2023 J jnl
Mitigate Replication and Copying in Diffusion Models with Generalized Caption and Dual Fusion Enhancement.
CoRR
Chenghao Li, Dake Chen, Yuke Zhang, Peter A. Beerel
2023 J jnl
On the Security of Sequential Logic Locking Against Oracle-Guided Attacks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Yinghua Hu, Yuke Zhang, Kaixin Yang, Dake Chen, Peter A. Beerel, Pierluigi Nuzzo
2023 A conf
RNA-ViT: Reduced-Dimension Approximate Normalized Attention Vision Transformers for Latency Efficient Private Inference.
ICCAD
Dake Chen, Yuke Zhang, Souvik Kundu, Chenghao Li, Peter A. Beerel
2023 A* conf
SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation.
ICCV
Yuke Zhang, Dake Chen, Souvik Kundu, Chenghao Li, Peter A. Beerel
2023 — conf
Unraveling Latch Locking Using Machine Learning, Boolean Analysis, and ILP.
ISQED
Dake Chen, Xuan Zhou, Yinghua Hu, Yuke Zhang, Kaixin Yang, Andrew Rittenbach, Pierluigi Nuzzo, Peter A. Beerel
2023 J jnl
Unraveling Latch Locking Using Machine Learning, Boolean Analysis, and ILP.
CoRR
Dake Chen, Xuan Zhou, Yinghua Hu, Yuke Zhang, Kaixin Yang, Andrew Rittenbach, Pierluigi Nuzzo, Peter A. Beerel
2021 — conf
A Clock Synchronization Ramp Sloping Active Clamped PWM Circuit.
ICICT
Dake Chen
2021 J jnl
Exploiting the Potential of Coastal GNSS-R for Improving Storm Surge Modeling.
IEEE Geosci. Remote. Sens. Lett.
Xiaohui Li, Dongkai Yang, Guoqi Han, Lei Yang, Jiuke Wang, JingSong Yang, Dake Chen, Gang Zheng
2021 — conf
Fun-SAT: Functional Corruptibility-Guided SAT-Based Attack on Sequential Logic Encryption.
HOST
Yinghua Hu, Yuke Zhang, Kaixin Yang, Dake Chen, Peter A. Beerel, Pierluigi Nuzzo
2021 J jnl
Fun-SAT: Functional Corruptibility-Guided SAT-Based Attack on Sequential Logic Encryption.
CoRR
Yinghua Hu, Yuke Zhang, Kaixin Yang, Dake Chen, Peter A. Beerel, Pierluigi Nuzzo
2021 — conf
GF-Flush: A GF(2) Algebraic Attack on Dynamically Secured Scan Chains.
DFT
Dake Chen, Chunxiao Lin, Peter A. Beerel
2021 J jnl
GF-Flush: A GF(2) Algebraic Attack on Secure Scan Chains.
CoRR
Dake Chen, Chunxiao Lin, Peter A. Beerel
2020 J jnl
Regional Dependence of Atmospheric Responses to Oceanic Eddies in the North Pacific Ocean.
Remote. Sens.
Jinlin Ji, Jing Ma, Changming Dong, John C. H. Chiang, Dake Chen
2018 — conf
Challenges in Building an Open-Source Flow from RTL to Bundled-Data Design.
ASYNC
Yang Zhang, Huimei Cheng, Dake Chen, Huayu Fu, Shikhanshu Agarwal, Mark Lin, Peter A. Beerel
2018 J jnl
Using Satellite Altimetry to Calibrate the Simulation of Typhoon Seth Storm Surge off Southeast China.
Remote. Sens.
Xiaohui Li, Guoqi Han, JingSong Yang, Dake Chen, Gang Zheng, Nan Chen
2008 — conf
Approaches to Realize High Precision CMOS Bandgap Reference Based on Neural Network.
ICNC (3)
Dake Chen, Jiuqiang Han
2008 J jnl
El Niño prediction and predictability.
J. Comput. Phys.
Dake Chen, Mark A. Cane