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Goldblum, Micah
92  Ergebnisse:
Personensuche X
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1

Identifying Attack-Specific Signatures in Adversarial Examp..:

, In: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Souri, Hossein ; Khorramshahi, Pirazh ; Lau, Chun Pong.. - p. 7050-7054 , 2024
Link: https://doi.org/10.1109/..
 
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2

Spotting LLMs With Binoculars: Zero-Shot Detection of Machi..:

Hans, Abhimanyu ; Schwarzschild, Avi ; Cherepanova, Valeriia...
http://arxiv.org/abs/2401.12070.  , 2024
Link: http://arxiv.org/abs/240..
 
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3

Towards Transferable Adversarial Attacks on Image and Video..:

Wei, Zhipeng ; Chen, Jingjing ; Goldblum, Micah...
IEEE Transactions on Image Processing.  32 (2023)  - p. 6346-6358 , 2023
Link: https://doi.org/10.1109/..
 
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4

A Deep Dive into Dataset Imbalance and Bias in Face Identif..:

, In: Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society,
Cherepanova, Valeriia ; Reich, Steven ; Dooley, Samuel... - p. 229-247 , 2023
Link: https://dl.acm.org/doi/1..
 
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5

Dataset Security for Machine Learning: Data Poisoning, Back..:

Goldblum, Micah ; Tsipras, Dimitris ; Xie, Chulin...
IEEE Transactions on Pattern Analysis and Machine Intelligence.  45 (2023)  2 - p. 1563-1580 , 2023
Link: https://doi.org/10.1109/..
 
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6

Diffusion Art or Digital Forgery? Investigating Data Replic..:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Somepalli, Gowthami ; Singla, Vasu ; Goldblum, Micah.. - p. 6048-6058 , 2023
Link: https://doi.org/10.1109/..
 
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7

Universal Guidance for Diffusion Models:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW),
Bansal, Arpit ; Chu, Hong-Min ; Schwarzschild, Avi... - p. 843-852 , 2023
Link: https://doi.org/10.1109/..
 
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8

STYX: Adaptive Poisoning Attacks Against Byzantine-Robust D..:

, In: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Wen, Yuxin ; Geiping, Jonas ; Goldblum, Micah. - p. 1-5 , 2023
Link: https://doi.org/10.1109/..
 
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9

The No Free Lunch Theorem, Kolmogorov Complexity, and the R..:

Goldblum, Micah ; Finzi, Marc ; Rowan, Keefer.
http://arxiv.org/abs/2304.05366.  , 2023
Link: http://arxiv.org/abs/230..
 
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10

Non-Vacuous Generalization Bounds for Large Language Models:

Lotfi, Sanae ; Finzi, Marc ; Kuang, Yilun...
http://arxiv.org/abs/2312.17173.  , 2023
Link: http://arxiv.org/abs/231..
 
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11

A Simple and Efficient Baseline for Data Attribution on Ima..:

Singla, Vasu ; Sandoval-Segura, Pedro ; Goldblum, Micah..
http://arxiv.org/abs/2311.03386.  , 2023
Link: http://arxiv.org/abs/231..
 
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12

Hard Prompts Made Easy: Gradient-Based Discrete Optimizatio..:

Wen, Yuxin ; Jain, Neel ; Kirchenbauer, John...
http://arxiv.org/abs/2302.03668.  , 2023
Link: http://arxiv.org/abs/230..
 
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13

Perspectives on the State and Future of Deep Learning - 202:

Goldblum, Micah ; Anandkumar, Anima ; Baraniuk, Richard...
http://arxiv.org/abs/2312.09323.  , 2023
Link: http://arxiv.org/abs/231..
 
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14

A Cookbook of Self-Supervised Learning:

Balestriero, Randall ; Ibrahim, Mark ; Sobal, Vlad...
http://arxiv.org/abs/2304.12210.  , 2023
Link: http://arxiv.org/abs/230..
 
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15

On the Reliability of Watermarks for Large Language Models:

Kirchenbauer, John ; Geiping, Jonas ; Wen, Yuxin...
http://arxiv.org/abs/2306.04634.  , 2023
Link: http://arxiv.org/abs/230..
 
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