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Chengzhi Mao
Chengzhi Mao
Assistant Professor @ McGill, Mila, Quebec AI Institute
Verified email at columbia.edu - Homepage
Title
Cited by
Cited by
Year
Metric learning for adversarial robustness
C Mao, Z Zhong, J Yang, C Vondrick, B Ray
NeurIPS 2019, 2019
1892019
Multitask Learning Strengthens Adversarial Robustness
C Mao, G Amogh, V Nitin, B Ray, S Song, J Yang, C Vondrick
ECCV 2020 (Oral) - 16th European Conference, Glasgow, UK, August 23-28 …, 2020
842020
Generative Interventions for Causal Learning
C Mao, A Gupta, A Cha, H Wang, J Yang, C Vondrick
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
542021
Adversarial Attacks are Reversible with Natural Supervision
C Mao, M Chiquier, H Wang, J Yang, C Vondrick
ICCV 2021, 2021
392021
Live Trojan Attacks on Deep Neural Networks
R Costales, C Mao, R Norwitz, B Kim, J Yang
CVPRW2020. arXiv preprint arXiv:2004.11370, 2020
362020
Causal Transportability for Visual Recognition
C Mao, K Xia, J Wang, H Wang, J Yang, E Bareinboim, C Vondrick
CVPR 2022, 2022
322022
Discrete Representations Strengthen Vision Transformer Robustness
C Mao, L Jiang, M Dehghani, C Vondrick, R Sukthankar, I Essa
ICLR 2022, 2021
312021
A probabilistic learning approach to UWB ranging error mitigation
C Mao, K Lin, T Yu, Y Shen
2018 IEEE Global Communications Conference (GLOBECOM), 2018
272018
Understanding Zero-Shot Adversarial Robustness for Large-Scale Models
C Mao, S Geng, J Yang, X Wang, C Vondrick
ICLR2023; arXiv preprint arXiv:2212.07016, 2022
222022
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling
H Wang, C Mao, H He, M Zhao, TS Jaakkola, D Katabi
AAAI, 2019
212019
Doubly right object recognition: A why prompt for visual rationales
C Mao, R Teotia, A Sundar, S Menon, J Yang, X Wang, C Vondrick
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
162023
Advspade: Realistic unrestricted attacks for semantic segmentation
G Shen, C Mao, J Yang, B Ray
arXiv preprint arXiv:1910.02354, 2019
122019
Shadows shed light on 3d objects
R Liu, S Menon, C Mao, D Park, S Stent, C Vondrick
CVPR, 2022
92022
Real-Time Neural Voice Camouflage
M Chiquier, C Mao, C Vondrick
ICLR 2022 (Oral), 2021
72021
Self-supervised convolutional visual prompts
YY Tsai, C Mao, YK Lin, J Yang
NeurIPS, 2023
52023
Deep self-organizing reservoir computing model for visual object recognition
Z Deng, C Mao, X Chen
2016 International Joint Conference on Neural Networks (IJCNN), 1325-1332, 2016
52016
Robust Perception through Equivariance
C Mao, L Zhang, A Joshi, J Yang, H Wang, C Vondrick
ICML, 2023
42023
A tale of two models: Constructing evasive attacks on edge models
W Hao, A Awatramani, J Hu, C Mao, PC Chen, E Cidon, A Cidon, J Yang
Proceedings of Machine Learning and Systems 4, 414-429, 2022
42022
Using Multiple Self-Supervised Tasks Improves Model Robustness
M Lawhon, C Mao, J Yang
ICLR 2022 workshop, 2022
32022
Landscape learning for neural network inversion
R Liu, C Mao, P Tendulkar, H Wang, C Vondrick
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
22023
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