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Alexander Panfilov
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2020 – today
- 2026
[i10]Alexander Panfilov, Peter Romov, Igor Shilov, Yves-Alexandre de Montjoye, Jonas Geiping, Maksym Andriushchenko:
Claudini: Autoresearch Discovers State-of-the-Art Adversarial Attack Algorithms for LLMs. CoRR abs/2603.24511 (2026)- 2025
[c5]Valentyn Boreiko, Alexander Panfilov, Václav Vorácek, Matthias Hein, Jonas Geiping:
An Interpretable N-gram Perplexity Threat Model for Large Language Model Jailbreaks. ICML 2025
[i9]Egor Zverev, Evgenii Kortukov, Alexander Panfilov, Soroush Tabesh, Alexandra Volkova, Sebastian Lapuschkin, Wojciech Samek, Christoph H. Lampert:
ASIDE: Architectural Separation of Instructions and Data in Language Models. CoRR abs/2503.10566 (2025)
[i8]Alexander Panfilov, Paul Kassianik, Maksym Andriushchenko, Jonas Geiping:
Capability-Based Scaling Laws for LLM Red-Teaming. CoRR abs/2505.20162 (2025)
[i7]Alexander Panfilov, Evgenii Kortukov, Kristina Nikolic, Matthias Bethge, Sebastian Lapuschkin, Wojciech Samek, Ameya Prabhu, Maksym Andriushchenko, Jonas Geiping:
Strategic Dishonesty Can Undermine AI Safety Evaluations of Frontier LLMs. CoRR abs/2509.18058 (2025)
[i6]Mikhail Terekhov, Alexander Panfilov, Daniil Dzenhaliou, Caglar Gulcehre, Maksym Andriushchenko, Ameya Prabhu, Jonas Geiping:
Adaptive Attacks on Trusted Monitors Subvert AI Control Protocols. CoRR abs/2510.09462 (2025)- 2024
[c4]Thaddäus Wiedemer, Jack Brady, Alexander Panfilov, Attila Juhos, Matthias Bethge, Wieland Brendel:
Provable Compositional Generalization for Object-Centric Learning. ICLR 2024
[i5]Valentyn Boreiko, Alexander Panfilov, Václav Vorácek, Matthias Hein, Jonas Geiping:
A Realistic Threat Model for Large Language Model Jailbreaks. CoRR abs/2410.16222 (2024)- 2023
[j1]Jichao Zhao
, Roshan Sharma, Anuradha Kalyanasundaram, James Kennelly, Jieyun Bai, Ning Li, Alexander Panfilov
, Vadim V. Fedorov:
Mechanistic insight into the functional role of human sinoatrial node conduction pathways and pacemaker compartments heterogeneity: A computer model analysis. PLoS Comput. Biol. 19(12) (2023)
[c3]Arip Asadulaev, Vitaly Shutov, Alexander Korotin, Alexander Panfilov, Vladislava Kontsevaya, Andrey Filchenkov:
A Minimalist Approach for Domain Adaptation with Optimal Transport. CoLLAs 2023: 1009-1024
[i4]Thaddäus Wiedemer
, Jack Brady, Alexander Panfilov, Attila Juhos, Matthias Bethge, Wieland Brendel:
Provable Compositional Generalization for Object-Centric Learning. CoRR abs/2310.05327 (2023)- 2022
[i3]Arip Asadulaev, Vitaly Shutov, Alexander Korotin, Alexander Panfilov, Andrey Filchenkov:
Connecting adversarial attacks and optimal transport for domain adaptation. CoRR abs/2205.15424 (2022)
[i2]Arip Asadulaev, Alexander Panfilov, Andrey Filchenkov:
Easy Batch Normalization. CoRR abs/2207.08940 (2022)
[i1]Arip Asadulaev, Alexander Panfilov, Andrey Filchenkov:
Multi-step domain adaptation by adversarial attack to H ΔH-divergence. CoRR abs/2207.08948 (2022)- 2020
[c2]Svyatoslav Oreshin, Andrey Filchenkov, Polina Petrusha, Egor Krasheninnikov, Alexander Panfilov, Igor Glukhov, Yulia E. Kaliberda
, Daniil Masalskiy, Alexey Serdyukov
, Vladimir Kazakovtsev, Maksim Khlopotov, Timofey Podolenchuk, Ivan Smetannikov, Daria Kozlova:
Implementing a Machine Learning Approach to Predicting Students' Academic Outcomes. CCRIS 2020: 78-83
[c1]Vladimir Kazakovtsev, Svyatoslav Oreshin, Alexey Serdyukov
, Egor Krasheninnikov, Sergey Muravyov, Albert Bezvinnyi, Alexander Panfilov, Igor Glukhov, Yulia E. Kaliberda
, Daniil Masalskiy, Timofey Podolenchuk, Maksim Khlopotov:
Recommender system for an academic supervisor with a matrix normalization approach. CCRIS 2020: 84-87
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last updated on 2026-04-17 00:30 CEST by the dblp team
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