Aleksander Mądry - Concepedia

Author

Aleksander Mądry

Also Known As

A. Madry, ALEKSANDER MĄDRY, Aleksander Madry, Aleksander Ma̧dry, Aleksander Mądry, Awadid, Afef, Ben Zhao, M\k{a}dry, Aleksander, Madry, Aleksander, Mądry, Aleksander

154

Publications

13.1K

Citations

H-Index

131

Concepts

All Affiliations

Massachusetts Institute of Technology Moscow Institute of Thermal Technology Google (United States)École Polytechnique Fédérale de Lausanne University of California, Berkeley

About

Aleksander Mądry is an author at Massachusetts Institute of Technology specializing in computer science, engineering, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	36	60	7.3K
2	Education	2	2	86
3	Management	2	2	45
4	Business	1	1	33
5	Natural Sciences	1	1	18

Aleksander Mądry

Publications

8.4K

Citations

H-Index

Page 1

	Year	Citations
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Mądry, Aleksandar Makelov, Ludwig Schmidt, arXiv (Cornell University) Deep Neural NetworksEngineeringMachine LearningData ScienceInformation Security	2017	1.5K
On Evaluating Adversarial Robustness Nicholas Carlini, Anish Athalye, Nicolas Papernot, arXiv (Cornell University) Evaluating Adversarial RobustnessEngineeringMachine LearningEvasion TechniqueInformation Security	2019	580
Adversarial Examples Are Not Bugs, They Are Features Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, arXiv (Cornell University) Artificial IntelligenceAdversarial ExamplesTrustworthy AiEngineeringMachine Learning	2019	395
Robustness May Be at Odds with Accuracy Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningVerificationRobustness Testing	2018	371
Adversarially Robust Generalization Requires More Data Ludwig Schmidt, Shibani Santurkar, Dimitris Tsipras, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningData ScienceComputational Learning Theory	2018	359
Electrical flows, laplacian systems, and faster approximation of maximum flow in undirected graphs Paul F. Christiano, Jonathan A. Kelner, Aleksander Mądry, Numerical AnalysisLaplacian SystemsGraph SparsityEngineeringElectrical Flow Problems	2011	286
Adversarially Robust Generalization Requires More Data Ludwig Schmidt, Shibani Santurkar, Dimitris Tsipras, DSpace@MIT (Massachusetts Institute of Technology)	2018	282
A Rotation and a Translation Suffice: Fooling CNNs with Simple Transformations Logan Engstrom, Brandon Tran, Dimitris Tsipras, arXiv (Cornell University) Artificial IntelligenceConvolutional Neural NetworkEngineeringMachine LearningImage Analysis	2017	272
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses Micah Goldblum, Dimitris Tsipras, Chulin Xie, IEEE Transactions on Pattern Analysis and Machine Intelligence EngineeringMachine LearningInformation SecurityInformation ForensicsSoftware Analysis	2022	272
Exploring the Landscape of Spatial Robustness Logan Engstrom, Brandon Tran, Dimitris Tsipras, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningSpatial UncertaintyLandscape Architecture	2017	253

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