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Ivan Evtimov
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Books and Theses
- 2021
- [b1]Ivan Evtimov:
Disrupting Machine Learning: Emerging Threats and Applications for Privacy and Dataset Ownership. University of Washington, USA, 2021
Journal Articles
- 2021
- [j1]Ivan Evtimov, Pascal Sturmfels, Tadayoshi Kohno:
FoggySight: A Scheme for Facial Lookup Privacy. Proc. Priv. Enhancing Technol. 2021(3): 204-226 (2021)
Conference and Workshop Papers
- 2023
- [c7]Zhiheng Li, Ivan Evtimov, Albert Gordo, Caner Hazirbas, Tal Hassner, Cristian Canton-Ferrer, Chenliang Xu, Mark Ibrahim:
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others. CVPR 2023: 20071-20082 - [c6]Vítor Albiero, Raghav Mehta, Ivan Evtimov, Samuel J. Bell, Levent Sagun, Aram Markosyan:
Confusing Large Models by Confusing Small Models. ICCV (Workshops) 2023: 4306-4314 - [c5]Badr Youbi Idrissi, Diane Bouchacourt, Randall Balestriero, Ivan Evtimov, Caner Hazirbas, Nicolas Ballas, Pascal Vincent, Michal Drozdzal, David Lopez-Paz, Mark Ibrahim:
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations. ICLR 2023 - [c4]Jiachen Sun
, Mark Ibrahim
VPA: Fully Test-Time Visual Prompt Adaptation. ACM Multimedia 2023: 5796-5806 - 2022
- [c3]Joanna Bitton, Maya Pavlova, Ivan Evtimov:
Adversarial Text Normalization. NAACL-HLT (Industry Papers) 2022: 268-279 - 2018
- [c2]Kevin Eykholt
Robust Physical-World Attacks on Deep Learning Visual Classification. CVPR 2018: 1625-1634 - [c1]Dawn Song, Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Florian Tramèr
Physical Adversarial Examples for Object Detectors. WOOT @ USENIX Security Symposium 2018
Informal and Other Publications
- 2024
- [i20]Christophe Ropers, David Dale, Prangthip Hansanti, Gabriel Mejia Gonzalez, Ivan Evtimov, Corinne Wong, Christophe Touret, Kristina Pereyra, Seohyun Sonia Kim, Cristian Canton-Ferrer, Pierre Andrews, Marta R. Costa-jussà:
Towards Red Teaming in Multimodal and Multilingual Translation. CoRR abs/2401.16247 (2024) - [i19]Christian Tomani, Kamalika Chaudhuri, Ivan Evtimov, Daniel Cremers, Mark Ibrahim:
Uncertainty-Based Abstention in LLMs Improves Safety and Reduces Hallucinations. CoRR abs/2404.10960 (2024) - [i18]Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Amy Yang, Angela Fan, Anirudh Goyal, Anthony Hartshorn, Aobo Yang, Archi Mitra, Archie Sravankumar, Artem Korenev, Arthur Hinsvark, Arun Rao, Aston Zhang, Aurélien Rodriguez, Austen Gregerson, Ava Spataru, Baptiste Rozière, Bethany Biron, Binh Tang, Bobbie Chern, Charlotte Caucheteux, Chaya Nayak, Chloe Bi, Chris Marra, Chris McConnell, Christian Keller, Christophe Touret, Chunyang Wu, Corinne Wong, Cristian Canton Ferrer, Cyrus Nikolaidis, Damien Allonsius, Daniel Song, Danielle Pintz, Danny Livshits, David Esiobu, Dhruv Choudhary, Dhruv Mahajan, Diego Garcia-Olano, Diego Perino, Dieuwke Hupkes, Egor Lakomkin, Ehab AlBadawy, Elina Lobanova, Emily Dinan, Eric Michael Smith, Filip Radenovic, Frank Zhang, Gabriel Synnaeve, Gabrielle Lee, Georgia Lewis Anderson, Graeme Nail, Grégoire Mialon, Guan Pang, Guillem Cucurell, Hailey Nguyen, Hannah Korevaar, Hu Xu, Hugo Touvron, Iliyan Zarov, Imanol Arrieta Ibarra, Isabel M. Kloumann, Ishan Misra, Ivan Evtimov, Jade Copet, Jaewon Lee, Jan Geffert, Jana Vranes, Jason Park, Jay Mahadeokar, Jeet Shah, Jelmer van der Linde, Jennifer Billock, Jenny Hong, Jenya Lee, Jeremy Fu, Jianfeng Chi, Jianyu Huang, Jiawen Liu, Jie Wang, Jiecao Yu, Joanna Bitton, Joe Spisak, Jongsoo Park, Joseph Rocca, Joshua Johnstun, Joshua Saxe, Junteng Jia, Kalyan Vasuden Alwala, Kartikeya Upasani, Kate Plawiak, Ke Li, Kenneth Heafield, Kevin Stone, et al.:
The Llama 3 Herd of Models. CoRR abs/2407.21783 (2024) - [i17]Maya Pavlova, Erik Brinkman, Krithika Iyer, Vitor Albiero, Joanna Bitton, Hailey Nguyen, Joe Li, Cristian Canton-Ferrer, Ivan Evtimov, Aaron Grattafiori:
Automated Red Teaming with GOAT: the Generative Offensive Agent Tester. CoRR abs/2410.01606 (2024) - [i16]Javier Rando, Hannah Korevaar, Erik Brinkman, Ivan Evtimov, Florian Tramèr:
Gradient-based Jailbreak Images for Multimodal Fusion Models. CoRR abs/2410.03489 (2024) - 2023
- [i15]Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, Sten Sootla, Itai Gat, Xiaoqing Ellen Tan, Yossi Adi, Jingyu Liu, Tal Remez, Jérémy Rapin, Artyom Kozhevnikov, Ivan Evtimov, Joanna Bitton, Manish Bhatt, Cristian Canton-Ferrer, Aaron Grattafiori, Wenhan Xiong, Alexandre Défossez, Jade Copet, Faisal Azhar, Hugo Touvron, Louis Martin, Nicolas Usunier, Thomas Scialom, Gabriel Synnaeve:
Code Llama: Open Foundation Models for Code. CoRR abs/2308.12950 (2023) - [i14]Jiachen Sun, Mark Ibrahim, Melissa Hall, Ivan Evtimov, Z. Morley Mao, Cristian Canton-Ferrer, Caner Hazirbas:
VPA: Fully Test-Time Visual Prompt Adaptation. CoRR abs/2309.15251 (2023) - [i13]Manish Bhatt, Sahana Chennabasappa, Cyrus Nikolaidis, Shengye Wan, Ivan Evtimov, Dominik Gabi, Daniel Song, Faizan Ahmad, Cornelius Aschermann, Lorenzo Fontana, Sasha Frolov, Ravi Prakash Giri, Dhaval Kapil, Yiannis Kozyrakis, David LeBlanc, James Milazzo, Aleksandar Straumann, Gabriel Synnaeve, Varun Vontimitta, Spencer Whitman, Joshua Saxe:
Purple Llama CyberSecEval: A Secure Coding Benchmark for Language Models. CoRR abs/2312.04724 (2023) - [i12]Loïc Barrault, Yu-An Chung, Mariano Coria Meglioli, David Dale, Ning Dong, Mark Duppenthaler, Paul-Ambroise Duquenne, Brian Ellis, Hady Elsahar, Justin Haaheim, John Hoffman, Min-Jae Hwang, Hirofumi Inaguma, Christopher Klaiber, Ilia Kulikov, Pengwei Li, Daniel Licht, Jean Maillard, Ruslan Mavlyutov, Alice Rakotoarison, Kaushik Ram Sadagopan, Abinesh Ramakrishnan, Tuan Tran, Guillaume Wenzek, Yilin Yang, Ethan Ye, Ivan Evtimov, Pierre Fernandez, Cynthia Gao, Prangthip Hansanti, Elahe Kalbassi, Amanda Kallet, Artyom Kozhevnikov, Gabriel Mejia Gonzalez, Robin San Roman, Christophe Touret, Corinne Wong, Carleigh Wood, Bokai Yu, Pierre Andrews, Can Balioglu, Peng-Jen Chen, Marta R. Costa-jussà, Maha Elbayad, Hongyu Gong, Francisco Guzmán, Kevin Heffernan, Somya Jain, Justine Kao, Ann Lee, Xutai Ma, Alexandre Mourachko, Benjamin N. Peloquin, Juan Pino, Sravya Popuri, Christophe Ropers, Safiyyah Saleem, Holger Schwenk, Anna Y. Sun, Paden Tomasello, Changhan Wang, Jeff Wang, Skyler Wang, Mary Williamson:
Seamless: Multilingual Expressive and Streaming Speech Translation. CoRR abs/2312.05187 (2023) - 2022
- [i11]Joanna Bitton, Maya Pavlova, Ivan Evtimov:
Adversarial Text Normalization. CoRR abs/2206.04137 (2022) - [i10]Badr Youbi Idrissi, Diane Bouchacourt, Randall Balestriero, Ivan Evtimov, Caner Hazirbas, Nicolas Ballas, Pascal Vincent, Michal Drozdzal, David Lopez-Paz, Mark Ibrahim:
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations. CoRR abs/2211.01866 (2022) - [i9]Zhiheng Li, Ivan Evtimov, Albert Gordo, Caner Hazirbas, Tal Hassner, Cristian Canton-Ferrer, Chenliang Xu, Mark Ibrahim:
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others. CoRR abs/2212.04825 (2022) - [i8]Raghav Mehta, Vítor Albiero, Li Chen, Ivan Evtimov, Tamar Glaser
You Only Need a Good Embeddings Extractor to Fix Spurious Correlations. CoRR abs/2212.06254 (2022) - 2021
- [i7]Ivan Evtimov, Ian Covert, Aditya Kusupati, Tadayoshi Kohno:
Disrupting Model Training with Adversarial Shortcuts. CoRR abs/2106.06654 (2021) - 2020
- [i6]Ivan Evtimov, Weidong Cui, Ece Kamar, Emre Kiciman, Tadayoshi Kohno, Jerry Li:
Security and Machine Learning in the Real World. CoRR abs/2007.07205 (2020) - [i5]Ivan Evtimov, Russ Howes, Brian Dolhansky, Hamed Firooz, Cristian Canton-Ferrer:
Adversarial Evaluation of Multimodal Models under Realistic Gray Box Assumption. CoRR abs/2011.12902 (2020) - [i4]Ivan Evtimov, Pascal Sturmfels, Tadayoshi Kohno:
FoggySight: A Scheme for Facial Lookup Privacy. CoRR abs/2012.08588 (2020) - 2018
- [i3]Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati
Physical Adversarial Examples for Object Detectors. CoRR abs/1807.07769 (2018) - 2017
- [i2]Ivan Evtimov, Kevin Eykholt, Earlence Fernandes, Tadayoshi Kohno, Bo Li, Atul Prakash, Amir Rahmati
Robust Physical-World Attacks on Machine Learning Models. CoRR abs/1707.08945 (2017) - [i1]Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Dawn Song, Tadayoshi Kohno, Amir Rahmati, Atul Prakash, Florian Tramèr:
Note on Attacking Object Detectors with Adversarial Stickers. CoRR abs/1712.08062 (2017)
Coauthor Index
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