Who collaborates with Tom Goldstein?

Atlas records 172 co-authors for Tom Goldstein, who works on Adversarial Robustness in Machine Learning; the 20 strongest connections are shown. The strongest collaboration is with Jonas Geiping (61 joint papers).
Open in the galaxy

Top co-authors

ResearcherJoint papersCited
Jonas Geiping611,999
Micah Goldblum922,313
Yuxin Wen231,214
John Kirchenbauer23290
Gowthami Somepalli21487
Furong Huang261,942
Avi Schwarzschild25996
Neel Jain13162
Manli Shu22319
Pedro Sandoval-Segura616
Vasu Singla10286
Hong-Min Chu415
David Jacobs74,228
C. Bayan Bruss6514
Eitan Borgnia11226
Abhinav Bhatele84,052
Hamid Kazemi40
Andrew Wilson415,740
Yuancheng Xu3591
Ronen Basri514,516

Research topics

TopicFieldPapers
Adversarial Robustness in Machine LearningComputer Science108
Advanced Neural Network ApplicationsComputer Science51
Domain Adaptation and Few-Shot LearningComputer Science49
Advanced MIMO Systems OptimizationEngineering38
Anomaly Detection Techniques and ApplicationsComputer Science34

Topics reflect this author's top 5 in OpenAlex; secondary areas may be missing.

Representative papers

TitleYearCited
The Split Bregman Method for L1-Regularized Problems20094,331
Fast Alternating Direction Optimization Methods2014811
Visualizing the Loss Landscape of Neural Nets2017623
Geometric Applications of the Split Bregman Method: Segmentation and Surface Reconstruction2009457
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses2022298
DCAN: Dual Channel-Wise Alignment Networks for Unsupervised Scene Adaptation2018267
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks2018249
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors2020223
Cite: Researcher Atlas, "Who collaborates with Tom Goldstein?", data version 2026.07-r1, https://researcher-atlas.com/researcher/tom-goldstein-a5060687985/