Yash Sharma

Cited by

	All	Since 2017
Citations	3500	3485
h-index	14	14
i10-index	16	16

1200

600

300

900

20172018201920202021202261 299 546 898 1106 565

Public access

View all

11 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Pin-Yu ChenPrincipal Research Staff Member, IBM Research AI; MIT-IBM Watson AI Lab; RPI-IBM AIRCVerified email at ibm.com
Huan ZhangCMUVerified email at andrew.cmu.edu
Cho-Jui HsiehUniversity of California, Los AngelesVerified email at cs.ucla.edu
Mani SrivastavaProfessor of Electrical & Computer Engineering, and Professor of Computer Science, UCLAVerified email at ucla.edu
Wieland BrendelEmmy Noether Group Leader, University of TübingenVerified email at uni-tuebingen.de
Matthias BethgeTübingen University & EPFL Visiting ProfessorVerified email at bethgelab.org
Kai-Wei ChangAssistant Professor, UCLAVerified email at kwchang.net
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedVerified email at tuebingen.mpg.de
Yingzhen LiImperial College LondonVerified email at imperial.ac.uk
Marcus A BrubakerAssistant Professor, York University; Faculty Affiliate, Vector InstituteVerified email at eecs.yorku.ca
Francesco LocatelloSenior Applied Scientist, Amazon AWSVerified email at amazon.com
Andreas GeigerProfessor of Computer Science, University of Tübingen and MPI-ISVerified email at uni-tuebingen.de
Alexander S. EckerUniversity of Göttingen, GermanyVerified email at cs.uni-goettingen.de
Anirudh GoyalMila, Université de MontréalVerified email at umontreal.ca
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Stefan BauerKTH Stockholm, CIFARVerified email at kth.se
Joshua B. TenenbaumMITVerified email at mit.edu
Simon Lacoste-JulienAssociate Professor - Canada CIFAR AI Chair, University of Montreal / MilaVerified email at iro.umontreal.ca
Igor MordatchUC BerkeleyVerified email at berkeley.edu
Alexandre LacosteStaff Research Scientist, ServiceNow ResearchVerified email at servicenow.com

Yash Sharma

University of Tübingen, Max Planck Institute for Intelligent Systems

Verified email at bethgelab.org - Homepage

Artificial Intelligence Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	1092	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	692*	2018
Generating natural language adversarial examples M Alzantot, Y Sharma, A Elgohary, BJ Ho, M Srivastava, KW Chang EMNLP 2018, 2018	546	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	468	2017
Genattack: Practical black-box attacks with gradient-free optimization M Alzantot, Y Sharma, S Chakraborty, M Srivastava GECCO 2019, 2018	157	2018
Max-Margin Adversarial (MMA) Training: Direct Input Space Margin Maximization through Adversarial Training GW Ding, Y Sharma, KYC Lui, R Huang ICLR 2020, 2018	144*	2018
Attacking the Madry Defense Model with -based Adversarial Examples Y Sharma, PY Chen ICLR 2018 Workshops, 2017	99*	2017
Are Generative Classifiers More Robust to Adversarial Attacks? Y Li, J Bradshaw, Y Sharma ICML 2019, 2018	65	2018
On the Effectiveness of Low Frequency Perturbations Y Sharma, GW Ding, M Brubaker IJCAI 2019, 2019	54	2019
Contrastive Learning Inverts the Data Generating Process RS Zimmermann, Y Sharma, S Schneider*, M Bethge, W Brendel ICML 2021, 2021	41	2021
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style J von Kügelgen, Y Sharma, L Gresele*, W Brendel, B Schölkopf, ... NeurIPS 2021, 2021	37	2021
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	32	2020
Bypassing feature squeezing by increasing adversary strength Y Sharma, PY Chen arXiv preprint arXiv:1803.09868, 2018	26	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	14*	2020
S2RMs: Spatially Structured Recurrent Modules N Rahaman, A Goyal, MW Gondal, M Wuthrich, S Bauer, Y Sharma, ... ICLR 2021, 2020	11	2020
CAAD 2018: Generating transferable adversarial examples Y Sharma, TD Le, M Alzantot arXiv preprint arXiv:1810.01268, 2018	10	2018
Unsupervised Learning of Compositional Energy Concepts Y Du, S Li, Y Sharma, JB Tenenbaum, I Mordatch NeurIPS 2021, 2021	6	2021
Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA S Lachapelle, PR López, Y Sharma, K Everett, RL Priol, A Lacoste, ... CLeaR 2022, 2021	6	2021
Gradient-based Adversarial Attacks to Deep Neural Networks in Limited Access Settings Y Sharma Masters thesis, COOPER UNION, 2018		2018
Using Macroeconomic Forecasts to Improve Mean Reverting Trading Strategies Y Sharma arXiv preprint arXiv:1705.08022, 2017		2017

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow this author

Cited by

Co-authors