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ORCIDJavier Rando
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2020 – today
- 2024
[c4]Nitish Joshi, Javier Rando, Abulhair Saparov, Najoung Kim, He He:
Personas as a Way to Model Truthfulness in Language Models. EMNLP 2024: 6346-6359- [c3]Javier Rando, Florian Tramèr:
Universal Jailbreak Backdoors from Poisoned Human Feedback. ICLR 2024 - [i14]Usman Anwar, Abulhair Saparov, Javier Rando, Daniel Paleka, Miles Turpin, Peter Hase, Ekdeep Singh Lubana, Erik Jenner, Stephen Casper, Oliver Sourbut, Benjamin L. Edelman, Zhaowei Zhang, Mario Günther, Anton Korinek, José Hernández-Orallo, Lewis Hammond, Eric J. Bigelow, Alexander Pan, Lauro Langosco, Tomasz Korbak, Heidi Zhang, Ruiqi Zhong, Seán Ó hÉigeartaigh, Gabriel Recchia, Giulio Corsi, Alan Chan, Markus Anderljung, Lilian Edwards, Yoshua Bengio, Danqi Chen, Samuel Albanie, Tegan Maharaj, Jakob N. Foerster, Florian Tramèr, He He, Atoosa Kasirzadeh, Yejin Choi, David Krueger:
Foundational Challenges in Assuring Alignment and Safety of Large Language Models. CoRR abs/2404.09932 (2024) - [i13]Javier Rando, Francesco Croce, Krystof Mitka, Stepan Shabalin, Maksym Andriushchenko, Nicolas Flammarion, Florian Tramèr:
Competition Report: Finding Universal Jailbreak Backdoors in Aligned LLMs. CoRR abs/2404.14461 (2024) - [i12]Edoardo Debenedetti, Javier Rando, Daniel Paleka, Silaghi Fineas Florin, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Rui Wen, Ahmed Salem, Giovanni Cherubin, Santiago Zanella Béguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramèr, Sahar Abdelnabi, Lea Schönherr:
Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition. CoRR abs/2406.07954 (2024) - [i11]Eyal Aharoni
, Sharlene Fernandes, Daniel J. Brady, Caelan Alexander, Michael Criner, Kara Queen, Javier Rando, Eddy Nahmias, Victor Crespo:
Attributions toward Artificial Agents in a modified Moral Turing Test. CoRR abs/2406.11854 (2024) - [i10]Robert Hönig, Javier Rando, Nicholas Carlini, Florian Tramèr:
Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI. CoRR abs/2406.12027 (2024) - [i9]Javier Rando, Hannah Korevaar, Erik Brinkman, Ivan Evtimov, Florian Tramèr:
Gradient-based Jailbreak Images for Multimodal Fusion Models. CoRR abs/2410.03489 (2024) - 2023
- [j1]Stephen Casper, Xander Davies, Claudia Shi, Thomas Krendl Gilbert, Jérémy Scheurer, Javier Rando, Rachel Freedman, Tomasz Korbak, David Lindner, Pedro Freire, Tony Tong Wang, Samuel Marks, Charbel-Raphaël Ségerie, Micah Carroll, Andi Peng, Phillip J. K. Christoffersen, Mehul Damani, Stewart Slocum, Usman Anwar, Anand Siththaranjan, Max Nadeau, Eric J. Michaud, Jacob Pfau, Dmitrii Krasheninnikov, Xin Chen, Lauro Langosco, Peter Hase, Erdem Biyik, Anca D. Dragan, David Krueger, Dorsa Sadigh, Dylan Hadfield-Menell:
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback. Trans. Mach. Learn. Res. 2023 (2023) - [c2]Javier Rando, Fernando Pérez-Cruz, Briland Hitaj:
PassGPT: Password Modeling and (Guided) Generation with Large Language Models. ESORICS (4) 2023: 164-183 - [i8]Javier Rando, Fernando Pérez-Cruz, Briland Hitaj:
PassGPT: Password Modeling and (Guided) Generation with Large Language Models. CoRR abs/2306.01545 (2023) - [i7]Stephen Casper, Xander Davies, Claudia Shi, Thomas Krendl Gilbert, Jérémy Scheurer, Javier Rando, Rachel Freedman, Tomasz Korbak, David Lindner, Pedro Freire, Tony Tong Wang, Samuel Marks, Charbel-Raphaël Ségerie, Micah Carroll, Andi Peng, Phillip J. K. Christoffersen, Mehul Damani, Stewart Slocum, Usman Anwar, Anand Siththaranjan, Max Nadeau, Eric J. Michaud, Jacob Pfau, Dmitrii Krasheninnikov, Xin Chen, Lauro Langosco, Peter Hase, Erdem Biyik, Anca D. Dragan, David Krueger, Dorsa Sadigh, Dylan Hadfield-Menell:
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback. CoRR abs/2307.15217 (2023) - [i6]Nitish Joshi, Javier Rando, Abulhair Saparov, Najoung Kim, He He:
Personas as a Way to Model Truthfulness in Language Models. CoRR abs/2310.18168 (2023) - [i5]Rusheb Shah, Quentin Feuillade-Montixi, Soroush Pour, Arush Tagade, Stephen Casper, Javier Rando:
Scalable and Transferable Black-Box Jailbreaks for Language Models via Persona Modulation. CoRR abs/2311.03348 (2023) - [i4]Javier Rando, Florian Tramèr:
Universal Jailbreak Backdoors from Poisoned Human Feedback. CoRR abs/2311.14455 (2023) - 2022
- [i3]Javier Rando, Nasib Naimi, Thomas Baumann, Max Mathys:
Exploring Adversarial Attacks and Defenses in Vision Transformers trained with DINO. CoRR abs/2206.06761 (2022) - [i2]Javier Rando, Daniel Paleka, David Lindner, Lennart Heim, Florian Tramèr:
Red-Teaming the Stable Diffusion Safety Filter. CoRR abs/2210.04610 (2022) - 2020
- [c1]Valerio Lorini, Javier Rando, Diego Sáez-Trumper, Carlos Castillo:
Uneven Coverage of Natural Disasters in Wikipedia: The Case of Floods. ISCRAM 2020: 688-703 - [i1]Valerio Lorini, Javier Rando, Diego Sáez-Trumper, Carlos Castillo:
Uneven Coverage of Natural Disasters in Wikipedia: the Case of Flood. CoRR abs/2001.08810 (2020)
Coauthor Index
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