Articles with public access mandates - Cho-Jui HsiehLearn more
Not available anywhere: 2
Nomadic computing for big data analytics
HF Yu, CJ Hsieh, H Yun, SVN Vishwanathan, I Dhillon
Computer 49 (4), 52-60, 2016
Mandates: US National Science Foundation
Communication-avoiding kernel ridge regression on parallel and distributed systems
Y You, J Huang, CJ Hsieh, R Vuduc, J Demmel
CCF Transactions on High Performance Computing 3 (3), 252-270, 2021
Mandates: US National Science Foundation, US Department of Energy
Available somewhere: 103
Zoo: Zeroth order optimization based black-box attacks to deep neural networks without training substitute models
PY Chen, H Zhang, Y Sharma, J Yi, CJ Hsieh
Proceedings of the 10th ACM workshop on artificial intelligence and security …, 2017
Mandates: US National Science Foundation
Can decentralized algorithms outperform centralized algorithms? a case study for decentralized parallel stochastic gradient descent
X Lian, C Zhang, H Zhang, CJ Hsieh, W Zhang, J Liu
Advances in neural information processing systems 30, 2017
Mandates: US National Science Foundation, Swiss National Science Foundation
Efficient neural network robustness certification with general activation functions
H Zhang, TW Weng, PY Chen, CJ Hsieh, L Daniel
Advances in neural information processing systems 31, 2018
Mandates: US National Science Foundation
Towards fast computation of certified robustness for relu networks
L Weng, H Zhang, H Chen, Z Song, CJ Hsieh, L Daniel, D Boning, ...
International Conference on Machine Learning, 5276-5285, 2018
Mandates: US National Science Foundation
Ead: elastic-net attacks to deep neural networks via adversarial examples
PY Chen, Y Sharma, H Zhang, J Yi, CJ Hsieh
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
Mandates: US National Science Foundation
Dynamicvit: Efficient vision transformers with dynamic token sparsification
Y Rao, W Zhao, B Liu, J Lu, J Zhou, CJ Hsieh
Advances in neural information processing systems 34, 13937-13949, 2021
Mandates: US National Science Foundation, National Natural Science Foundation of China
Towards robust neural networks via random self-ensemble
X Liu, M Cheng, H Zhang, CJ Hsieh
Proceedings of the european conference on computer vision (ECCV), 369-385, 2018
Mandates: US National Science Foundation
Autozoom: Autoencoder-based zeroth order optimization method for attacking black-box neural networks
CC Tu, P Ting, PY Chen, S Liu, H Zhang, J Yi, CJ Hsieh, SM Cheng
Proceedings of the AAAI conference on artificial intelligence 33 (01), 742-749, 2019
Mandates: US National Science Foundation
Robust deep reinforcement learning against adversarial perturbations on state observations
H Zhang, H Chen, C Xiao, B Li, M Liu, D Boning, CJ Hsieh
Advances in Neural Information Processing Systems 33, 21024-21037, 2020
Mandates: US National Science Foundation
Genattack: Practical black-box attacks with gradient-free optimization
M Alzantot, Y Sharma, S Chakraborty, H Zhang, CJ Hsieh, MB Srivastava
Proceedings of the genetic and evolutionary computation conference, 1111-1119, 2019
Mandates: US National Science Foundation, US Department of Defense, US National …
Automatic perturbation analysis for scalable certified robustness and beyond
K Xu, Z Shi, H Zhang, Y Wang, KW Chang, M Huang, B Kailkhura, X Lin, ...
Advances in Neural Information Processing Systems 33, 1129-1141, 2020
Mandates: US National Science Foundation, US Department of Energy, National Natural …
SSE-PT: Sequential recommendation via personalized transformer
L Wu, S Li, CJ Hsieh, J Sharpnack
Proceedings of the 14th ACM conference on recommender systems, 328-337, 2020
Mandates: US National Science Foundation
Beta-crown: Efficient bound propagation with per-neuron split constraints for neural network robustness verification
S Wang, H Zhang, K Xu, X Lin, S Jana, CJ Hsieh, JZ Kolter
Advances in Neural Information Processing Systems 34, 29909-29921, 2021
Mandates: US National Science Foundation, US Department of Defense
Stabilizing differentiable architecture search via perturbation-based regularization
X Chen, CJ Hsieh
International conference on machine learning, 1554-1565, 2020
Mandates: US National Science Foundation
Memory efficient kernel approximation
S Si, CJ Hsieh, IS Dhillon
Journal of Machine Learning Research 18 (20), 1-32, 2017
Mandates: US National Science Foundation
How does noise help robustness? explanation and exploration under the neural sde framework
X Liu, T Xiao, S Si, Q Cao, S Kumar, CJ Hsieh
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Mandates: US National Science Foundation
Gradient boosted decision trees for high dimensional sparse output
S Si, H Zhang, SS Keerthi, D Mahajan, IS Dhillon, CJ Hsieh
International conference on machine learning, 3182-3190, 2017
Mandates: US National Science Foundation
What does BERT with vision look at?
LH Li, M Yatskar, D Yin, CJ Hsieh, KW Chang
Proceedings of the 58th annual meeting of the association for computational …, 2020
Mandates: US National Science Foundation, US Department of Defense
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