Yash Sharma
Yash Sharma
University of Tübingen, Max Planck Institute for Intelligent Systems
Verified email at bethgelab.org - Homepage
Cited by
Cited by
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
Technical Report on the CleverHans v2.1.0 Adversarial Examples Library
N Papernot, F Faghri, N Carlini, I Goodfellow, R Feinman, A Kurakin, ...
arXiv preprint arXiv:1610.00768, 2018
EAD: elastic-net attacks to deep neural networks via adversarial examples
PY Chen*, Y Sharma*, H Zhang, J Yi, CJ Hsieh
AAAI 2018, 2017
Generating natural language adversarial examples
M Alzantot*, Y Sharma*, A Elgohary, BJ Ho, M Srivastava, KW Chang
EMNLP 2018, 2018
Genattack: Practical black-box attacks with gradient-free optimization
M Alzantot, Y Sharma, S Chakraborty, M Srivastava
GECCO 2019, 2018
Attacking the Madry Defense Model with -based Adversarial Examples
Y Sharma, PY Chen
ICLR 2018 Workshops, 2017
Max-Margin Adversarial (MMA) Training: Direct Input Space Margin Maximization through Adversarial Training
GW Ding, Y Sharma, KYC Lui, R Huang
ICLR 2020, 2018
Are Generative Classifiers More Robust to Adversarial Attacks?
Y Li, J Bradshaw, Y Sharma
ICML 2019, 2018
On the Effectiveness of Low Frequency Perturbations
Y Sharma, GW Ding, M Brubaker
IJCAI 2019, 2019
Bypassing feature squeezing by increasing adversary strength
Y Sharma, PY Chen
arXiv preprint arXiv:1803.09868, 2018
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
D Klindt*, L Schott*, Y Sharma*, I Ustyuzhaninov, W Brendel, M Bethge, ...
ICLR 2021, 2020
CAAD 2018: Generating transferable adversarial examples
Y Sharma, TD Le, M Alzantot
arXiv preprint arXiv:1810.01268, 2018
Benchmarking Unsupervised Object Representations for Video Sequences
MA Weis, K Chitta, Y Sharma, W Brendel, M Bethge, A Geiger, AS Ecker
JMLR 2021, 2020
S2RMs: Spatially Structured Recurrent Modules
N Rahaman, A Goyal, MW Gondal, M Wuthrich, S Bauer, Y Sharma, ...
ICLR 2021, 2020
Contrastive Learning Inverts the Data Generating Process
RS Zimmermann*, Y Sharma*, S Schneider*, M Bethge, W Brendel
arXiv preprint arXiv:2102.08850, 2021
System and method for max-margin adversarial training
W Ding, Y Sharma, YC Lui, R Huang
US Patent App. 16/664,139, 2020
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
J von Kügelgen*, Y Sharma*, L Gresele*, W Brendel, B Schölkopf, ...
arXiv preprint arXiv:2106.04619, 2021
Gradient-based Adversarial Attacks to Deep Neural Networks in Limited Access Settings
Y Sharma
Masters thesis, COOPER UNION, 2018
Using Macroeconomic Forecasts to Improve Mean Reverting Trading Strategies
Y Sharma
arXiv preprint arXiv:1705.08022, 2017
Learning to Play Super Smash Bros. Melee with Delayed Actions
Y Sharma, E Friedman
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