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Yash Sharma
Yash Sharma
University of Tübingen, Max Planck Institute for Intelligent Systems
bethgelab.org의 이메일 확인됨 - 홈페이지
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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
22762017
Generating natural language adversarial examples
M Alzantot*, Y Sharma*, A Elgohary, BJ Ho, M Srivastava, KW Chang
EMNLP 2018, 2018
11252018
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
1013*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
7232017
Max-Margin Adversarial (MMA) Training: Direct Input Space Margin Maximization through Adversarial Training
GW Ding, Y Sharma, KYC Lui, R Huang
ICLR 2020, 2018
358*2018
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
3212021
Genattack: Practical black-box attacks with gradient-free optimization
M Alzantot, Y Sharma, S Chakraborty, M Srivastava
GECCO 2019, 2018
3092018
Contrastive Learning Inverts the Data Generating Process
RS Zimmermann*, Y Sharma*, S Schneider*, M Bethge, W Brendel
ICML 2021, 2021
2422021
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
149*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
1482020
On the Effectiveness of Low Frequency Perturbations
Y Sharma, GW Ding, M Brubaker
IJCAI 2019, 2019
1312019
Attacking the Madry Defense Model with -based Adversarial Examples
Y Sharma, PY Chen
ICLR 2018 Workshops, 2017
131*2017
Are Generative Classifiers More Robust to Adversarial Attacks?
Y Li, J Bradshaw, Y Sharma
ICML 2019, 2018
1112018
Unsupervised Learning of Compositional Energy Concepts
Y Du, S Li, Y Sharma, JB Tenenbaum, I Mordatch
NeurIPS 2021, 2021
852021
Bypassing feature squeezing by increasing adversary strength
Y Sharma, PY Chen
arXiv preprint arXiv:1803.09868, 2018
442018
No" Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
V Udandarao, A Prabhu, A Ghosh, Y Sharma, PHS Torr, A Bibi, S Albanie, ...
NeurIPS 2024, 2024
412024
Benchmarking Unsupervised Object Representations for Video Sequences
MA Weis, K Chitta, Y Sharma, W Brendel, M Bethge, A Geiger, AS Ecker
JMLR 2021, 2020
39*2020
Provably Learning Object-Centric Representations
J Brady, RS Zimmermann, Y Sharma, B Schölkopf, J von Kügelgen, ...
ICML 2023, 2023
332023
Jacobian-based Causal Discovery with Nonlinear ICA
P Reizinger, Y Sharma, M Bethge, B Schölkopf, F Huszár, W Brendel
TMLR 2023, 2023
202023
Spatially structured recurrent modules
N Rahaman, A Goyal, MW Gondal, M Wuthrich, S Bauer, Y Sharma, ...
ICLR 2021, 2020
19*2020
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학술자료 1–20