Micah Goldblum - Concepedia

Author

Micah Goldblum

University of Maryland, College Park ORCID

Also Known As

Fowl, Liam, Goldblum, Micah, Hegde, Chinmay, John Dickerson, LeCun, Yann, Micah Goldblum

147

Publications

2.2K

Citations

H-Index

110

Concepts

All Affiliations

University of Maryland, College Park New York University

About

Micah Goldblum is an author at University of Maryland, College Park specializing in engineering, computer science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	22	38	1.7K
2	Arts	4	4	197
3	Language Studies	3	3	58
4	Business	2	2	136
5	Education	2	2	184

Micah Goldblum

Publications

1.8K

Citations

H-Index

Page 1

	Year	Citations
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
A Cookbook of Self-Supervised Learning Randall Balestriero, Mark Ibrahim, Vlad Sobal, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningMachine Learning ToolEducation	2023	161
Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models Gowthami Somepalli, Vasu Singla, Micah Goldblum, EngineeringMachine LearningImage RetrievalDiffusion ArtInformation Forensics	2023	132
Universal Guidance for Diffusion Models Arpit Bansal, Hongmin Chu, Avi Schwarzschild, Typical Diffusion ModelsEngineeringMachine LearningUniversal Guidance AlgorithmUniversal Guidance	2023	116
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training Gowthami Somepalli, Micah Goldblum, Avi Schwarzschild, arXiv (Cornell University) Artificial IntelligenceFraud DetectionEngineeringMachine LearningMachine Learning Tool	2021	113
Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise Arpit Bansal, Eitan Borgnia, Hongmin Chu, arXiv (Cornell University) Cold DiffusionEngineeringMachine LearningStandard Diffusion ModelsImage Analysis	2022	105
Towards Transferable Adversarial Attacks on Vision Transformers Zhipeng Wei, Jingjing Chen, Micah Goldblum, Proceedings of the AAAI Conference on Artificial Intelligence Data AugmentationConvolutional Neural NetworkImage AnalysisMachine LearningComputer Vision	2022	96
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks Avi Schwarzschild, Micah Goldblum, Arjun K. Gupta, arXiv (Cornell University) Data Poisoning AttacksA Unified BenchmarkEngineeringMachine LearningEvasion Technique	2020	56
LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition Valeriia Cherepanova, Micah Goldblum, Harrison Foley, arXiv (Cornell University) Industrial-grade PipelinesSocial Media UsersEngineeringMachine LearningBiometrics	2021	52
Adversarially Robust Few-Shot Learning: A Meta-Learning Approach Micah Goldblum, Liam Fowl, Tom Goldstein arXiv (Cornell University) Artificial IntelligenceFew-shot LearningImage ClassificationRobust Neural NetworksEngineering	2019	42

Page 1