متابعة
Micah Goldblum
Micah Goldblum
Columbia University
بريد إلكتروني تم التحقق منه على columbia.edu - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
A Cookbook of Self-Supervised Learning‏
R Balestriero, M Ibrahim, V Sobal, A Morcos, S Shekhar, T Goldstein, ...‏
arXiv preprint arXiv:2304.12210, 2023‏
492*2023
Saint: Improved neural networks for tabular data via row attention and contrastive pre-training‏
G Somepalli, M Goldblum, A Schwarzschild, CB Bruss, T Goldstein‏
arXiv preprint arXiv:2106.01342, 2021‏
407*2021
Dataset security for machine learning: Data poisoning, backdoor attacks, and defenses‏
M Goldblum, D Tsipras, C Xie, ...‏
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2022, 2022‏
393*2022
Baseline defenses for adversarial attacks against aligned language models‏
N Jain, A Schwarzschild, Y Wen, G Somepalli, J Kirchenbauer, P Chiang, ...‏
arXiv preprint arXiv:2309.00614, 2023‏
358*2023
Diffusion art or digital forgery? investigating data replication in diffusion models‏
G Somepalli, V Singla, M Goldblum, J Geiping, T Goldstein‏
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023‏
3322023
The Intrinsic Dimension of Images and Its Impact on Learning‏
P Pope, C Zhu, A Abdelkader, M Goldblum, T Goldstein‏
International Conference on Learning Representations (ICLR) 2021, 2021‏
2982021
Cold diffusion: Inverting arbitrary image transforms without noise‏
A Bansal, E Borgnia, HM Chu, JS Li, H Kazemi, F Huang, M Goldblum, ...‏
Advances in Neural Information Processing Systems (NeurIPS), 2023‏
2752023
Universal guidance for diffusion models‏
A Bansal, HM Chu, A Schwarzschild, S Sengupta, M Goldblum, J Geiping, ...‏
The Twelfth International Conference on Learning Representations (ICLR) 2024, 2024‏
269*2024
Hard prompts made easy: Gradient-based discrete optimization for prompt tuning and discovery‏
Y Wen, N Jain, J Kirchenbauer, M Goldblum, J Geiping, T Goldstein‏
Advances in Neural Information Processing Systems 36, 2023‏
2552023
Adversarially Robust Distillation‏
M Goldblum, L Fowl, S Feizi, T Goldstein‏
AAAI Conference on Artificial Intelligence (AAAI) 2020, 2020‏
2552020
Just how toxic is data poisoning? a unified benchmark for backdoor and data poisoning attacks‏
A Schwarzschild*, M Goldblum*, A Gupta, JP Dickerson, T Goldstein‏
International Conference on Machine Learning (ICML) 2021, 2021‏
2082021
Strong Data Augmentation Sanitizes Poisoning and Backdoor Attacks Without an Accuracy Tradeoff‏
E Borgnia, V Cherepanova, L Fowl, A Ghiasi, J Geiping, M Goldblum, ...‏
International Conference on Acoustics, Speech, and Signal Processing (ICASSP …, 2021‏
186*2021
On the Reliability of Watermarks for Large Language Models‏
J Kirchenbauer, J Geiping, Y Wen, M Shu, K Saifullah, K Kong, ...‏
The Twelfth International Conference on Learning Representations (ICLR) 2024, 2024‏
182*2024
When Do Neural Nets Outperform Boosted Trees on Tabular Data?‏
D McElfresh, S Khandagale, J Valverde, G Ramakrishnan, M Goldblum, ...‏
Advances in Neural Information Processing Systems (NeurIPS), 2023‏
174*2023
Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models‏
L Fowl, J Geiping, W Czaja, M Goldblum, T Goldstein‏
International Conference on Learning Representations (ICLR) 2022, 2022‏
1592022
LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition‏
V Cherepanova, M Goldblum, H Foley, S Duan, J Dickerson, G Taylor, ...‏
International Conference on Learning Representations (ICLR) 2021, 2021‏
1542021
Adversarial Examples Make Strong Poisons‏
L Fowl*, M Goldblum*, P Chiang, J Geiping, W Czaja, T Goldstein‏
Advances in Neural Information Processing Systems (NeurIPS), 2021‏
1432021
Sleeper agent: Scalable hidden trigger backdoors for neural networks trained from scratch‏
H Souri, L Fowl, R Chellappa, M Goldblum, T Goldstein‏
Advances in Neural Information Processing Systems (NeurIPS) 35, 19165-19178, 2022‏
1412022
Towards transferable adversarial attacks on image and video transformers‏
Z Wei, J Chen, M Goldblum, Z Wu, T Goldstein, YG Jiang, LS Davis‏
IEEE Transactions on Image Processing 32, 6346-6358, 2023‏
136*2023
Understanding and Mitigating Copying in Diffusion Models‏
G Somepalli, V Singla, M Goldblum, J Geiping, T Goldstein‏
Advances in Neural Information Processing Systems (NeurIPS), 2023‏
1262023
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مقالات 1–20