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Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses.

M. Goldblum, D. Tsipras, C. Xie, X. Chen, A. Schwarzschild, D. Song, A. Madry, B. Li, and T. Goldstein. CoRR, (2020)

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Erna Goldstein

Franz Goldstein

Walter Goldstein

Siegbert Goldstein

Moise Goldstein

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VLSI Designs for Joint Channel Estimation and Data Detection in Large SIMO Wireless Systems.O. Castañeda, T. Goldstein, and C. Studer. CoRR, (2017)Unwrapping ADMM: Efficient Distributed Computing via Transpose Reduction.T. Goldstein, G. Taylor, K. Barabin, and K. Sayre. AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 1151-1158. JMLR.org, (2016)Adaptive step size selection for optimization via the ski rental problem.A. Aghazadeh, A. Ayremlou, D. Calderon, T. Goldstein, R. Patel, D. Vats, and R. Baraniuk. ICASSP, page 5383-5387. IEEE, (2013)Adversarial Attacks on Machine Learning Systems for High-Frequency Trading.M. Goldblum, A. Schwarzschild, N. Cohen, T. Balch, A. Patel, and T. Goldstein. CoRR, (2020)Son of Zorn's lemma: Targeted style transfer using instance-aware semantic segmentation.C. Castillo, S. De, X. Han, B. Singh, A. Yadav, and T. Goldstein. ICASSP, page 1348-1352. IEEE, (2017)Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch.H. Souri, L. Fowl, R. Chellappa, M. Goldblum, and T. Goldstein. NeurIPS, (2022)End-to-end Algorithm Synthesis with Recurrent Networks: Extrapolation without Overthinking.A. Bansal, A. Schwarzschild, E. Borgnia, Z. Emam, F. Huang, M. Goldblum, and T. Goldstein. NeurIPS, (2022)Center Smoothing: Certified Robustness for Networks with Structured Outputs.A. Kumar, and T. Goldstein. NeurIPS, page 5560-5575. (2021)Encoding Robustness to Image Style via Adversarial Feature Perturbations.M. Shu, Z. Wu, M. Goldblum, and T. Goldstein. NeurIPS, page 28042-28053. (2021)Deep k-NN Defense Against Clean-Label Data Poisoning Attacks.N. Peri, N. Gupta, W. Huang, L. Fowl, C. Zhu, S. Feizi, T. Goldstein, and J. Dickerson. ECCV Workshops (1), volume 12535 of Lecture Notes in Computer Science, page 55-70. Springer, (2020)

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Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses.

Please choose a person to relate this publication to

Erna Goldstein

Franz Goldstein

Walter Goldstein

Siegbert Goldstein

Moise Goldstein

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Goldstein, Tom"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses.

Please choose a person to relate this publication to

Erna Goldstein

Franz Goldstein

Walter Goldstein

Siegbert Goldstein

Moise Goldstein

Other publications of authors with the same name

Disambiguation

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URL
DOI
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APA
Chicago
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Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses.