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Citations per year
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Cited by
All
Since 2019
Citations
26
26
h-index
1
1
i10-index
1
1
0
24
12
2023
2024
2
24
Co-authors
Stephen Casper
PhD student, MIT
Verified email at mit.edu
Javier Rando
ETH Zurich
Verified email at ai.ethz.ch
Soroush Pour
Harmony Intelligence
Verified email at soroushjp.com
Rusheb Shah
Apollo Research
Verified email at apolloresearch.ai
Jessica Rumbelow
Leap Laboratories
Verified email at leap-labs.com
Vinoth Nandakumar
University of Sydney
Verified email at sydney.edu.au
Tongliang Liu
Director, Sydney AI Centre, University of Sydney & Mohamed bin Zayed University of AI
Verified email at sydney.edu.au
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Arush Tagade
ML Researcher, Leap Laboratories
Verified email at leap-labs.com
AI Safety
Interpretability
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Year
Scalable and transferable black-box jailbreaks for language models via persona modulation
R Shah, FM Quentin, S Pour, A Tagade, S Casper, J Rando
arXiv preprint arXiv:2311.03348
, 2023
26
2023
The SaTML'24 CNN Interpretability Competition: New Innovations for Concept-Level Interpretability
S Casper, J Yun, J Baek, Y Jung, M Kim, K Kwon, S Park, H Moore, ...
arXiv preprint arXiv:2404.02949
, 2024
2024
Prototype Generation: Robust Feature Visualisation for Data Independent Interpretability
A Tagade, J Rumbelow
arXiv preprint arXiv:2309.17144
, 2023
2023
Why do CNNs excel at feature extraction? A mathematical explanation
V Nandakumar, A Tagade, T Liu
arXiv preprint arXiv:2307.00919
, 2023
2023
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