Chawin Sitawarin
Title
Cited by
Cited by
Year
Dimensionality reduction as a defense against evasion attacks on machine learning classifiers
AN Bhagoji, D Cullina, P Mittal
arXiv preprint arXiv:1704.02654 2, 2017
158*2017
Darts: Deceiving autonomous cars with toxic signs
C Sitawarin, AN Bhagoji, A Mosenia, M Chiang, P Mittal
arXiv preprint arXiv:1802.06430, 2018
832018
Rogue signs: Deceiving traffic sign recognition with malicious ads and logos
C Sitawarin, AN Bhagoji, A Mosenia, P Mittal, M Chiang
arXiv preprint arXiv:1801.02780, 2018
302018
Inverse-designed photonic fibers and metasurfaces for nonlinear frequency conversion
C Sitawarin, W Jin, Z Lin, AW Rodriguez
Photonics Research 6 (5), B82-B89, 2018
252018
Beyond grand theft auto V for training, testing and enhancing deep learning in self driving cars
M Martinez, C Sitawarin, K Finch, L Meincke, A Yablonski, A Kornhauser
arXiv preprint arXiv:1712.01397, 2017
192017
On the robustness of deep k-nearest neighbors
C Sitawarin, D Wagner
2019 IEEE Security and Privacy Workshops (SPW), 1-7, 2019
152019
Defending against adversarial examples with k-nearest neighbor
C Sitawarin, D Wagner
arXiv preprint arXiv:1906.09525, 2019
132019
Analyzing the robustness of open-world machine learning
V Sehwag, AN Bhagoji, L Song, C Sitawarin, D Cullina, M Chiang, P Mittal
Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security …, 2019
82019
Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples
V Sehwag, AN Bhagoji, L Song, C Sitawarin, D Cullina, M Chiang, P Mittal
arXiv preprint arXiv:1905.01726, 2019
32019
Improving Adversarial Robustness Through Progressive Hardening
C Sitawarin, S Chakraborty, D Wagner
arXiv preprint arXiv:2003.09347, 2020
22020
Minimum-Norm Adversarial Examples on KNN and KNN-Based Models
C Sitawarin, D Wagner
arXiv preprint arXiv:2003.06559, 2020
22020
Not all pixels are born equal: An analysis of evasion attacks under locality constraints
V Sehwag, C Sitawarin, AN Bhagoji, A Mosenia, M Chiang, P Mittal
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications …, 2018
22018
Beyond Grand Theft Auto V for Training, Testing and Enhancing Deep Learning in Self Driving Cars
MA Martinez II, C Sitawarin, K Finch, L Meincke, A Yablonski, ...
Princeton University, 2018
22018
Inverse-designed photonic fibers and metasurfaces for nonlinear frequency conversion [Invited]: publisher’s note
C Sitawarin, W Jin, Z Lin, AW Rodriguez
Photonics Research 7 (4), 493-493, 2019
12019
Enhancing Robustness of Machine Learning Systems via Data Transformations
A Nitin Bhagoji, D Cullina, C Sitawarin, P Mittal
arXiv, arXiv: 1704.02654, 2017
2017
Inverse-designed nonlinear nanophotonic structures: Enhanced frequency conversion at the nano scale
Z Lin, C Sitawarin, M Lončar, AW Rodriguez
CLEO: Science and Innovations, SM2E. 1, 2016
2016
SPW 2019
C Sitawarin, D Wagner, O Suciu, SE Coull, R Taori, A Kamsetty, B Chu, ...
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Articles 1–17