E-LIB Suche - Ergebnisse für: Goldblum, Micah

1

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/..

2

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/..

3

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/..

4

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/..

5

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/..

6

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..

7

Poisons that are learned faster are more effective:

, In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW),

Sandoval-Segura, Pedro ; Singla, Vasu ; Fowl, Liam... - p. 197-204 , 2022

Link: https://doi.org/10.1109/..

8

Can Neural Nets Learn the Same Model Twice? Investigating R..:

, In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),

Somepalli, Gowthami ; Fowl, Liam ; Bansal, Arpit... - p. 13689-13698 , 2022

Link: https://doi.org/10.1109/..

9

Strong Data Augmentation Sanitizes Poisoning and Backdoor A..:

, In: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

Borgnia, Eitan ; Cherepanova, Valeriia ; Fowl, Liam... - p. 3855-3859 , 2021

Link: https://doi.org/10.1109/..

10

Adversarial attacks on machine learning systems for high-fr..:

, In: Proceedings of the Second ACM International Conference on AI in Finance,

Goldblum, Micah ; Schwarzschild, Avi ; Patel, Ankit. - p. 1-9 , 2021

Link: https://dl.acm.org/doi/1..

11

Witchcraft: Efficient PGD Attacks with Random Step Size:

, In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

Chiang, Ping-Yeh ; Geiping, Jonas ; Goldblum, Micah... - p. 3747-3751 , 2020

Link: https://doi.org/10.1109/..

12

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..

13

When Do Neural Nets Outperform Boosted Trees on Tabular Dat..:

McElfresh, Duncan ; Khandagale, Sujay ; Valverde, Jonathan...
http://arxiv.org/abs/2305.02997. , 2023

Link: http://arxiv.org/abs/230..

14

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..

15

Simplifying Neural Network Training Under Class Imbalance:

Shwartz-Ziv, Ravid ; Goldblum, Micah ; Li, Yucen Lily..
http://arxiv.org/abs/2312.02517. , 2023

Link: http://arxiv.org/abs/231..