Yash Sharma

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Pin-Yu ChenResearch Staff Member, IBM Research AI; MIT-IBM Watson AI Lab; RPI-IBM AIRCVerified email at ibm.com
Moustafa F. AlzantotGoogle ResearchVerified email at google.com
Wieland BrendelEmmy Noether Fellow, University of TübingenVerified email at uni-tuebingen.de
Matthias BethgeTübingen University & Amazon ScholarVerified email at bethgelab.org
Marcus A BrubakerAssistant Professor, York University; Faculty Affiliate, Vector InstituteVerified email at eecs.yorku.ca
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
David Alexander KlindtDepartment of Mathematical Sciences, Norwegian University of Science and TechnologyVerified email at uni-tuebingen.de
Lukas SchottPhD Student International Max Planck Research School for Intelligent SystemsVerified email at bethgelab.org
Dylan M PaitonInstitute for Theoretical Physics, University of TübingenVerified email at bethgelab.org
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedVerified email at tuebingen.mpg.de
Nasim RahamanMila, Montréal & Max-Planck Institute for Intelligent Systems TübingenVerified email at tuebingen.mpg.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 BauerMPI for Intelligent SystemsVerified email at tuebingen.mpg.de
Roland Simon ZimmermannUniversity of TübingenVerified email at uni-tuebingen.de
Steffen SchneiderEPFL · IMPRS for Intelligent Systems · ELLISVerified email at bethgelab.org
Julius von KügelgenMax Planck Institute for Intelligent Systems Tübingen & University of CambridgeVerified email at tuebingen.mpg.de
Luigi GreselePh.D. student, Max Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Francesco LocatelloSenior Applied Scientist, Amazon AWSVerified email at amazon.com

Yash Sharma

University of Tübingen, Max Planck Institute for Intelligent Systems

Verified email at bethgelab.org - Homepage

Artificial Intelligence Machine Learning


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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	759	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	558*	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	353	2017
Generating natural language adversarial examples M Alzantot, Y Sharma, A Elgohary, BJ Ho, M Srivastava, KW Chang EMNLP 2018, 2018	339	2018
Genattack: Practical black-box attacks with gradient-free optimization M Alzantot, Y Sharma, S Chakraborty, M Srivastava GECCO 2019, 2018	111	2018
Attacking the Madry Defense Model with -based Adversarial Examples Y Sharma, PY Chen ICLR 2018 Workshops, 2017	84*	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	74*	2018
Are Generative Classifiers More Robust to Adversarial Attacks? Y Li, J Bradshaw, Y Sharma ICML 2019, 2018	45	2018
On the Effectiveness of Low Frequency Perturbations Y Sharma, GW Ding, M Brubaker IJCAI 2019, 2019	31	2019
Bypassing feature squeezing by increasing adversary strength Y Sharma, PY Chen arXiv preprint arXiv:1803.09868, 2018	18	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	11	2020
CAAD 2018: Generating transferable adversarial examples Y Sharma, TD Le, M Alzantot arXiv preprint arXiv:1810.01268, 2018	7	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	5*	2020
S2RMs: Spatially Structured Recurrent Modules N Rahaman, A Goyal, MW Gondal, M Wuthrich, S Bauer, Y Sharma, ... ICLR 2021, 2020	4	2020
Contrastive Learning Inverts the Data Generating Process RS Zimmermann, Y Sharma, S Schneider*, M Bethge, W Brendel arXiv preprint arXiv:2102.08850, 2021	3	2021
System and method for max-margin adversarial training W Ding, Y Sharma, YC Lui, R Huang US Patent App. 16/664,139, 2020	3	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		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
Learning to Play Super Smash Bros. Melee with Delayed Actions Y Sharma, E Friedman

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