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Contrastive Learning Inverts the Data Generating Process

Feb 17, 2021
Roland S. Zimmermann, Yash Sharma, Steffen Schneider, Matthias Bethge, Wieland Brendel

* The first three authors, as well as the last two authors, contributed equally. Code is available at https://brendel-group.github.io/cl-ica 

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Improving Low Resource Code-switched ASR using Augmented Code-switched TTS

Oct 12, 2020
Yash Sharma, Basil Abraham, Karan Taneja, Preethi Jyothi

* Interspeech 2020, 5 pages 

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Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding

Jul 21, 2020
David Klindt, Lukas Schott, Yash Sharma, Ivan Ustyuzhaninov, Wieland Brendel, Matthias Bethge, Dylan Paiton

* Code is available at https://github.com/bethgelab/slow_disentanglement. The first three authors, as well as the last two authors, contributed equally 

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S2RMs: Spatially Structured Recurrent Modules

Jul 13, 2020
Nasim Rahaman, Anirudh Goyal, Muhammad Waleed Gondal, Manuel Wuthrich, Stefan Bauer, Yash Sharma, Yoshua Bengio, Bernhard Schölkopf


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Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences

Jun 12, 2020
Marissa A. Weis, Kashyap Chitta, Yash Sharma, Wieland Brendel, Matthias Bethge, Andreas Geiger, Alexander S. Ecker


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Devising Malware Characterstics using Transformers

May 23, 2020
Simra Shahid, Tanmay Singh, Yash Sharma, Kapil Sharma

* 5 pages, 3 figures, 3 tables 

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On the Effectiveness of Low Frequency Perturbations

Feb 28, 2019
Yash Sharma, Gavin Weiguang Ding, Marcus Brubaker


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Max-Margin Adversarial (MMA) Training: Direct Input Space Margin Maximization through Adversarial Training

Dec 06, 2018
Gavin Weiguang Ding, Yash Sharma, Kry Yik Chau Lui, Ruitong Huang


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CAAD 2018: Generating Transferable Adversarial Examples

Sep 29, 2018
Yash Sharma, Tien-Dung Le, Moustafa Alzantot

* 1st place attack solutions and 3rd place defense in CAAD 2018 Competition 

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Generating Natural Language Adversarial Examples

Sep 24, 2018
Moustafa Alzantot, Yash Sharma, Ahmed Elgohary, Bo-Jhang Ho, Mani Srivastava, Kai-Wei Chang

* Accepted in EMNLP 2018 (Conference on Empirical Methods in Natural Language Processing) 

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Attacking the Madry Defense Model with $L_1$-based Adversarial Examples

Jul 27, 2018
Yash Sharma, Pin-Yu Chen

* Accepted to ICLR 2018 Workshops 

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Are Generative Classifiers More Robust to Adversarial Attacks?

Jul 09, 2018
Yingzhen Li, John Bradshaw, Yash Sharma

* Presented as an oral talk at the ICML 2018 workshop on Theoretical Foundations and Applications of Deep Generative Models 

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Technical Report on the CleverHans v2.1.0 Adversarial Examples Library

Jun 27, 2018
Nicolas Papernot, Fartash Faghri, Nicholas Carlini, Ian Goodfellow, Reuben Feinman, Alexey Kurakin, Cihang Xie, Yash Sharma, Tom Brown, Aurko Roy, Alexander Matyasko, Vahid Behzadan, Karen Hambardzumyan, Zhishuai Zhang, Yi-Lin Juang, Zhi Li, Ryan Sheatsley, Abhibhav Garg, Jonathan Uesato, Willi Gierke, Yinpeng Dong, David Berthelot, Paul Hendricks, Jonas Rauber, Rujun Long, Patrick McDaniel

* Technical report for https://github.com/tensorflow/cleverhans 

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GenAttack: Practical Black-box Attacks with Gradient-Free Optimization

May 28, 2018
Moustafa Alzantot, Yash Sharma, Supriyo Chakraborty, Mani Srivastava


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Bypassing Feature Squeezing by Increasing Adversary Strength

Mar 27, 2018
Yash Sharma, Pin-Yu Chen


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EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples

Feb 10, 2018
Pin-Yu Chen, Yash Sharma, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh

* To be published at AAAI 2018 

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ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models

Nov 02, 2017
Pin-Yu Chen, Huan Zhang, Yash Sharma, Jinfeng Yi, Cho-Jui Hsieh

* Accepted by 10th ACM Workshop on Artificial Intelligence and Security (AISEC) with the 24th ACM Conference on Computer and Communications Security (CCS) 

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