E-LIB Suche - Ergebnisse für: Schwarzschild, Avi

1

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/..

2

Reckoning with the Disagreement Problem: Explanation Consen..:

, In: Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society,

Schwarzschild, Avi ; Cembalest, Max ; Rao, Karthik.. - p. 662-678 , 2023

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

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

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..

5

Headless Horseman: Adversarial Attacks on Transfer Learning..:

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

Abdelkader, Ahmed ; Curry, Michael J. ; Fowl, Liam... - p. 3087-3091 , 2020

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

6

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..

7

TOFU: A Task of Fictitious Unlearning for LLMs:

Maini, Pratyush ; Feng, Zhili ; Schwarzschild, Avi..
http://arxiv.org/abs/2401.06121. , 2024

Link: http://arxiv.org/abs/240..

8

NEFTune: Noisy Embeddings Improve Instruction Finetuning:

Jain, Neel ; Chiang, Ping-yeh ; Wen, Yuxin...
http://arxiv.org/abs/2310.05914. , 2023

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

9

Effective Backdoor Mitigation Depends on the Pre-training O..:

Verma, Sahil ; Bhatt, Gantavya ; Schwarzschild, Avi...
http://arxiv.org/abs/2311.14948. , 2023

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

10

Reckoning with the Disagreement Problem: Explanation Consen..:

Schwarzschild, Avi ; Cembalest, Max ; Rao, Karthik..
http://arxiv.org/abs/2303.13299. , 2023

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

11

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..

12

Universal Guidance for Diffusion Models:

Bansal, Arpit ; Chu, Hong-Min ; Schwarzschild, Avi...
http://arxiv.org/abs/2302.07121. , 2023

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

13

Baseline Defenses for Adversarial Attacks Against Aligned L..:

Jain, Neel ; Schwarzschild, Avi ; Wen, Yuxin...
http://arxiv.org/abs/2309.00614. , 2023

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

14

Neural Auctions Compromise Bidder Information:

Stein, Alex ; Schwarzschild, Avi ; Curry, Michael..
http://arxiv.org/abs/2303.00116. , 2023

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

15

End-to-end Algorithm Synthesis with Recurrent Networks: Log..:

Bansal, Arpit ; Schwarzschild, Avi ; Borgnia, Eitan...
http://arxiv.org/abs/2202.05826. , 2022

Link: http://arxiv.org/abs/220..