Micah Goldblum
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
46
Venues
8
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
46 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Adaptive Retention & Correction: Test-Time Training for Continual Learning. | Haoran Chen, Micah Goldblum, Zuxuan Wu, Yu-Gang Jiang |
| 2025 | ICLR | Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarking. | Benjamin Feuer, Micah Goldblum, Teresa Datta, Sanjana Nambiar, Raz Besaleli, Samuel Dooley, Max Cembalest, John P. Dickerson |
| 2025 | ICLR | LiveBench: A Challenging, Contamination-Limited LLM Benchmark. | Colin White, Samuel Dooley, Manley Roberts, Arka Pal, Benjamin Feuer, Siddhartha Jain, Ravid Shwartz-Ziv, Neel Jain, Khalid Saifullah, Sreemanti Dey, Shubh-Agrawal, Sandeep Singh Sandha, Siddartha V. Naidu, Chinmay Hegde, Yann LeCun, Tom Goldstein, Willie Neiswanger, Micah Goldblum |
| 2025 | ICML | Hidden No More: Attacking and Defending Private Third-Party LLM Inference. | Rahul Krishna Thomas, Louai Zahran, Erica Choi, Akilesh Potti, Micah Goldblum, Arka Pal |
| 2025 | NAACL | LLM-Generated Passphrases That Are Secure and Easy to Remember. | Jie S. Li, Jonas Geiping, Micah Goldblum, Aniruddha Saha, Tom Goldstein |
| 2024 | ECCV | Investigating Style Similarity in Diffusion Models. | Gowthami Somepalli, Anubhav Gupta, Kamal Gupta, Shramay Palta, Micah Goldblum, Jonas Geiping, Abhinav Shrivastava, Tom Goldstein |
| 2024 | ICASSP | Identifying Attack-Specific Signatures in Adversarial Examples. | Hossein Souri, Pirazh Khorramshahi, Chun Pong Lau, Micah Goldblum, Rama Chellappa |
| 2024 | ICLR | Universal Guidance for Diffusion Models. | Arpit Bansal, Hong-Min Chu, Avi Schwarzschild, Soumyadip Sengupta, Micah Goldblum, Jonas Geiping, Tom Goldstein |
| 2024 | ICLR | NEFTune: Noisy Embeddings Improve Instruction Finetuning. | Neel Jain, Ping-yeh Chiang, Yuxin Wen, John Kirchenbauer, Hong-Min Chu, Gowthami Somepalli, Brian R. Bartoldson, Bhavya Kailkhura, Avi Schwarzschild, Aniruddha Saha, Micah Goldblum, Jonas Geiping, Tom Goldstein |
| 2024 | ICLR | On the Reliability of Watermarks for Large Language Models. | John Kirchenbauer, Jonas Geiping, Yuxin Wen, Manli Shu, Khalid Saifullah, Kezhi Kong, Kasun Fernando, Aniruddha Saha, Micah Goldblum, Tom Goldstein |
| 2024 | ICML | Position: The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning. | Micah Goldblum, Marc Anton Finzi, Keefer Rowan, Andrew Gordon Wilson |
| 2024 | ICML | Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text. | Abhimanyu Hans, Avi Schwarzschild, Valeriia Cherepanova, Hamid Kazemi, Aniruddha Saha, Micah Goldblum, Jonas Geiping, Tom Goldstein |
| 2024 | ICML | Non-Vacuous Generalization Bounds for Large Language Models. | Sanae Lotfi, Marc Anton Finzi, Yilun Kuang, Tim G. J. Rudner, Micah Goldblum, Andrew Gordon Wilson |
| 2024 | ICML | Compute Better Spent: Replacing Dense Layers with Structured Matrices. | Shikai Qiu, Andres Potapczynski, Marc Anton Finzi, Micah Goldblum, Andrew Gordon Wilson |
| 2023 | AIES | A Deep Dive into Dataset Imbalance and Bias in Face Identification. | Valeriia Cherepanova, Steven Reich, Samuel Dooley, Hossein Souri, John P. Dickerson, Micah Goldblum, Tom Goldstein |
| 2023 | CVPR | Universal Guidance for Diffusion Models. | Arpit Bansal, Hong-Min Chu, Avi Schwarzschild, Soumyadip Sengupta, Micah Goldblum, Jonas Geiping, Tom Goldstein |
| 2023 | CVPR | Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models. | Gowthami Somepalli, Vasu Singla, Micah Goldblum, Jonas Geiping, Tom Goldstein |
| 2023 | ICASSP | STYX: Adaptive Poisoning Attacks Against Byzantine-Robust Defenses in Federated Learning. | Yuxin Wen, Jonas Geiping, Micah Goldblum, Tom Goldstein |
| 2023 | ICLR | Loss Landscapes are All You Need: Neural Network Generalization Can Be Explained Without the Implicit Bias of Gradient Descent. | Ping-yeh Chiang, Renkun Ni, David Yu Miller, Arpit Bansal, Jonas Geiping, Micah Goldblum, Tom Goldstein |
| 2023 | ICLR | Panning for Gold in Federated Learning: Targeted Text Extraction under Arbitrarily Large-Scale Aggregation. | Hong-Min Chu, Jonas Geiping, Liam H. Fowl, Micah Goldblum, Tom Goldstein |
| 2023 | ICLR | Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models. | Liam H. Fowl, Jonas Geiping, Steven Reich, Yuxin Wen, Wojciech Czaja, Micah Goldblum, Tom Goldstein |
| 2023 | ICLR | How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization. | Jonas Geiping, Micah Goldblum, Gowthami Somepalli, Ravid Shwartz-Ziv, Tom Goldstein, Andrew Gordon Wilson |
| 2023 | ICLR | The Lie Derivative for Measuring Learned Equivariance. | Nate Gruver, Marc Anton Finzi, Micah Goldblum, Andrew Gordon Wilson |
| 2023 | ICLR | Transfer Learning with Deep Tabular Models. | Roman Levin, Valeriia Cherepanova, Avi Schwarzschild, Arpit Bansal, C. Bayan Bruss, Tom Goldstein, Andrew Gordon Wilson, Micah Goldblum |
| 2023 | ICLR | Seeing in Words: Learning to Classify through Language Bottlenecks. | Khalid Saifullah, Yuxin Wen, Jonas Geiping, Micah Goldblum, Tom Goldstein |
| 2023 | ICLR | Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries. | Yuxin Wen, Arpit Bansal, Hamid Kazemi, Eitan Borgnia, Micah Goldblum, Jonas Geiping, Tom Goldstein |
| 2023 | ICLR | Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness. | Yuancheng Xu, Yanchao Sun, Micah Goldblum, Tom Goldstein, Furong Huang |
| 2022 | AAAI | Towards Transferable Adversarial Attacks on Vision Transformers. | Zhipeng Wei, Jingjing Chen, Micah Goldblum, Zuxuan Wu, Tom Goldstein, Yu-Gang Jiang |
| 2022 | CVPR | Poisons that are learned faster are more effective. | Pedro Sandoval Segura, Vasu Singla, Liam Fowl, Jonas Geiping, Micah Goldblum, David Jacobs, Tom Goldstein |
| 2022 | CVPR | Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective. | Gowthami Somepalli, Liam Fowl, Arpit Bansal, Ping-Yeh Chiang, Yehuda Dar, Richard G. Baraniuk, Micah Goldblum, Tom Goldstein |
| 2022 | ICLR | Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models. | Liam H. Fowl, Jonas Geiping, Wojciech Czaja, Micah Goldblum, Tom Goldstein |
| 2022 | ICLR | Stochastic Training is Not Necessary for Generalization. | Jonas Geiping, Micah Goldblum, Phillip Pope, Michael Moeller, Tom Goldstein |
| 2022 | ICLR | The Close Relationship Between Contrastive Learning and Meta-Learning. | Renkun Ni, Manli Shu, Hossein Souri, Micah Goldblum, Tom Goldstein |
| 2022 | ICLR | The Uncanny Similarity of Recurrence and Depth. | Avi Schwarzschild, Arjun Gupta, Amin Ghiasi, Micah Goldblum, Tom Goldstein |
| 2022 | ICML | Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations. | Amin Ghiasi, Hamid Kazemi, Steven Reich, Chen Zhu, Micah Goldblum, Tom Goldstein |
| 2022 | ICML | Bayesian Model Selection, the Marginal Likelihood, and Generalization. | Sanae Lotfi, Pavel Izmailov, Gregory W. Benton, Micah Goldblum, Andrew Gordon Wilson |
| 2022 | ICML | Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification. | Yuxin Wen, Jonas Geiping, Liam Fowl, Micah Goldblum, Tom Goldstein |
| 2021 | ICASSP | Strong Data Augmentation Sanitizes Poisoning and Backdoor Attacks Without an Accuracy Tradeoff. | Eitan Borgnia, Valeriia Cherepanova, Liam Fowl, Amin Ghiasi, Jonas Geiping, Micah Goldblum, Tom Goldstein, Arjun Gupta |
| 2021 | ICLR | LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition. | Valeriia Cherepanova, Micah Goldblum, Harrison Foley, Shiyuan Duan, John P. Dickerson, Gavin Taylor, Tom Goldstein |
| 2021 | ICLR | The Intrinsic Dimension of Images and Its Impact on Learning. | Phillip Pope, Chen Zhu, Ahmed Abdelkader, Micah Goldblum, Tom Goldstein |
| 2021 | ICML | Data Augmentation for Meta-Learning. | Renkun Ni, Micah Goldblum, Amr Sharaf, Kezhi Kong, Tom Goldstein |
| 2021 | ICML | Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks. | Avi Schwarzschild, Micah Goldblum, Arjun Gupta, John P. Dickerson, Tom Goldstein |
| 2020 | AAAI | Adversarially Robust Distillation. | Micah Goldblum, Liam Fowl, Soheil Feizi, Tom Goldstein |
| 2020 | ICASSP | Witchcraft: Efficient PGD Attacks with Random Step Size. | Ping-Yeh Chiang, Jonas Geiping, Micah Goldblum, Tom Goldstein, Renkun Ni, Steven Reich, Ali Shafahi |
| 2020 | ICLR | Truth or backpropaganda? An empirical investigation of deep learning theory. | Micah Goldblum, Jonas Geiping, Avi Schwarzschild, Michael Moeller, Tom Goldstein |
| 2020 | ICML | Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks. | Micah Goldblum, Steven Reich, Liam Fowl, Renkun Ni, Valeriia Cherepanova, Tom Goldstein |