{
 "type": "researcher",
 "question": "Who collaborates with Tom Goldstein?",
 "id": "A5060687985",
 "name": "Tom Goldstein",
 "url": "https://researcher-atlas.com/researcher/tom-goldstein-a5060687985/",
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 "displayed_coauthors": 20,
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 "data_version": "2026.07-r1",
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 "source": "OpenAlex (CC0)",
 "answer": "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).",
 "metrics": {
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 "affiliation_latest": "University of Maryland",
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   "url": "https://researcher-atlas.com/researcher/yuancheng-xu-a5051630132/"
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 ],
 "topics": [
  {
   "id": "T11689",
   "name": "Adversarial Robustness in Machine Learning",
   "works_count": 108,
   "subfield": "Artificial Intelligence",
   "field": "Computer Science"
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   "name": "Advanced Neural Network Applications",
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   "subfield": "Electrical and Electronic Engineering",
   "field": "Engineering"
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  {
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   "name": "Anomaly Detection Techniques and Applications",
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   "subfield": "Artificial Intelligence",
   "field": "Computer Science"
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 ],
 "topics_note": "OpenAlex exposes only this author's top 5 topics.",
 "papers": [
  {
   "title": "The Split Bregman Method for L1-Regularized Problems",
   "year": 2009,
   "cited_by_count": 4331
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  {
   "title": "Fast Alternating Direction Optimization Methods",
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  {
   "title": "Visualizing the Loss Landscape of Neural Nets",
   "year": 2017,
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  {
   "title": "Geometric Applications of the Split Bregman Method: Segmentation and Surface Reconstruction",
   "year": 2009,
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  {
   "title": "Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses",
   "year": 2022,
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  {
   "title": "DCAN: Dual Channel-Wise Alignment Networks for Unsupervised Scene Adaptation",
   "year": 2018,
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  {
   "title": "Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks",
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  {
   "title": "Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors",
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}