Các bài viết có thể truy cập công khai - Aleksander MądryTìm hiểu thêm
Có tại một số nơi: 44
Towards deep learning models resistant to adversarial attacks
A Madry, A Makelov, L Schmidt, D Tsipras, A Vladu
Proceedings of the International Conference on Representation Learning (ICLR …, 2018
Các cơ quan ủy nhiệm: US National Science Foundation
How does batch normalization help optimization?
S Santurkar, D Tsipras, A Ilyas, A Madry
Advances in neural information processing systems 31, 2018
Các cơ quan ủy nhiệm: US National Science Foundation
Adversarial examples are not bugs, they are features
A Ilyas, S Santurkar, D Tsipras, L Engstrom, B Tran, A Madry
Advances in neural information processing systems 32, 2019
Các cơ quan ủy nhiệm: US National Science Foundation
On adaptive attacks to adversarial example defenses
F Tramer, N Carlini, W Brendel, A Madry
Advances in neural information processing systems 33, 1633-1645, 2020
Các cơ quan ủy nhiệm: US National Science Foundation, Swiss National Science Foundation, US …
Spectral signatures in backdoor attacks
B Tran, J Li, A Madry
Advances in neural information processing systems 31, 2018
Các cơ quan ủy nhiệm: US National Science Foundation
Adversarially robust generalization requires more data
L Schmidt, S Santurkar, D Tsipras, K Talwar, A Madry
Advances in neural information processing systems 31, 2018
Các cơ quan ủy nhiệm: US National Science Foundation
Exploring the landscape of spatial robustness
L Engstrom, B Tran, D Tsipras, L Schmidt, A Madry
International conference on machine learning, 1802-1811, 2019
Các cơ quan ủy nhiệm: US National Science Foundation
Do adversarially robust imagenet models transfer better?
H Salman, A Ilyas, L Engstrom, A Kapoor, A Madry
Advances in Neural Information Processing Systems 33, 3533-3545, 2020
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense
Dataset security for machine learning: Data poisoning, backdoor attacks, and defenses
M Goldblum, D Tsipras, C Xie, X Chen, A Schwarzschild, D Song, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (2), 1563-1580, 2022
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense
An O(log n/log log n)-Approximation Algorithm for the Asymmetric Traveling Salesman Problem
A Asadpour, MX Goemans, A Mądry, SO Gharan, A Saberi
Operations Research 65 (4), 1043-1061, 2017
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense
Image synthesis with a single (robust) classifier
S Santurkar, A Ilyas, D Tsipras, L Engstrom, B Tran, A Madry
Advances in Neural Information Processing Systems 32, 2019
Các cơ quan ủy nhiệm: US National Science Foundation
A Polylogarithmic-Competitive Algorithm for the k-Server Problem
N Bansal, N Buchbinder, A Madry, J Naor
Journal of the ACM (JACM) 62 (5), 1-49, 2015
Các cơ quan ủy nhiệm: European Commission
From imagenet to image classification: Contextualizing progress on benchmarks
D Tsipras, S Santurkar, L Engstrom, A Ilyas, A Madry
International Conference on Machine Learning, 9625-9635, 2020
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense
A closer look at deep policy gradients
A Ilyas, L Engstrom, S Santurkar, D Tsipras, F Janoos, L Rudolph, ...
arXiv preprint arXiv:1811.02553, 2018
Các cơ quan ủy nhiệm: US National Science Foundation
Computing maximum flow with augmenting electrical flows
A Madry
2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS …, 2016
Các cơ quan ủy nhiệm: US National Science Foundation
Matrix scaling and balancing via box constrained Newton's method and interior point methods
MB Cohen, A Madry, D Tsipras, A Vladu
2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS …, 2017
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense
Negative-Weight Shortest Paths and Unit Capacity Minimum Cost Flow in Õ (m10/7 log W) Time
MB Cohen, A Mądry, P Sankowski, A Vladu
Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete …, 2017
Các cơ quan ủy nhiệm: US National Science Foundation
On the limitations of first-order approximation in GAN dynamics
J Li, A Madry, J Peebles, L Schmidt
International Conference on Machine Learning, 3005-3013, 2018
Các cơ quan ủy nhiệm: US National Science Foundation
Round Compression for Parallel Matching Algorithms
A Mądry, A Czumaj, K Onak, J Łącki, P Sankowski, S Mitrović
Các cơ quan ủy nhiệm: US National Science Foundation, Swiss National Science Foundation, UK …
Editing a classifier by rewriting its prediction rules
S Santurkar, D Tsipras, M Elango, D Bau, A Torralba, A Madry
Advances in Neural Information Processing Systems 34, 23359-23373, 2021
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense
Chương trình máy tính sẽ tự động xác định thông tin xuất bản và thông tin về nhà tài trợ