Hongge Chen
Hongge Chen
PhD, MIT EECS
Verified email at mit.edu
Title
Cited by
Cited by
Year
Towards Fast Computation of Certified Robustness for ReLU Networks
TW Weng, H Zhang, H Chen, Z Song, CJ Hsieh, D Boning, IS Dhillon, ...
International Conference on Machine Learning (ICML), 2018, 2018
3732018
Is Robustness the Cost of Accuracy?--A Comprehensive Study on the Robustness of 18 Deep Image Classification Models
D Su, H Zhang, H Chen, J Yi, PY Chen, Y Gao
European Conference on Computer Vision (ECCV), 2018, 631-648, 2018
2242018
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective
K Xu*, H Chen*, S Liu, PY Chen, TW Weng, M Hong, X Lin
International Joint Conferences on Artificial Intelligence (IJCAI), 2019, 2019
1142019
Attacking visual language grounding with adversarial examples: A case study on neural image captioning
H Chen*, H Zhang*, PY Chen, J Yi, CJ Hsieh
Annual Meeting of the Association for Computational Linguistics (ACL), 2018 …, 2018
113*2018
Towards stable and efficient training of verifiably robust neural networks
H Zhang, H Chen, C Xiao, S Gowal, R Stanforth, B Li, D Boning, CJ Hsieh
International Conference on Learning Representations (ICLR), 2020, 2020
982020
Adversarial t-shirt! evading person detectors in a physical world
K Xu, G Zhang, S Liu, Q Fan, M Sun, H Chen, PY Chen, Y Wang, X Lin
European Conference on Computer Vision (ECCV), 2020 (Spotlight), 2020
66*2020
The limitations of adversarial training and the blind-spot attack
H Zhang*, H Chen*, Z Song, D Boning, IS Dhillon, CJ Hsieh
International Conference on Learning Representations (ICLR), 2019, 2019
622019
Robust Decision Trees Against Adversarial Examples
H Chen, H Zhang, D Boning, CJ Hsieh
International Conference on Machine Learning (ICML), 2019 (20-min Long Oral …, 2019
522019
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations
H Zhang*, H Chen*, C Xiao, B Li, M Liu, D Boning, CJ Hsieh
Neural Information Processing Systems (NeurIPS), 2020 (Spotlight), 2020
36*2020
Robustness Verification of Tree-based Models
H Chen*, H Zhang*, S Si, Y Li, D Boning, CJ Hsieh
Neural Information Processing Systems (NeurIPS), 2019, 2019
262019
A slice-type magnetoelectric laminated current sensor
X Yu, G Lou, H Chen, C Wen, S Lu
IEEE Sensors Journal 15 (10), 5839-5850, 2015
182015
Robust reinforcement learning on state observations with learned optimal adversary
H Zhang*, H Chen*, D Boning, CJ Hsieh
International Conference on Learning Representations (ICLR), 2021, 2021
82021
On -norm Robustness of Ensemble Stumps and Trees
Y Wang, H Zhang, H Chen, D Boning, CJ Hsieh
International Conference on Machine Learning (ICML), 2020, 2020
5*2020
Online and Incremental Machine Learning Approaches for IC Yield Improvement
H Chen, DS Boning
IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2017, 2017
42017
Multi-Stage Influence Function
H Chen, S Si, Y Li, C Chelba, S Kumar, D Boning, CJ Hsieh
Neural Information Processing Systems (NeurIPS), 2020, 2020
12020
Machine Learning Approaches for IC Manufacturing Yield Enhancement
H Chen, DS Boning
Machine Learning in VLSI Computer-Aided Design, 175-199, 2019
12019
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