Maksym Andriushchenko
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
7
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks. | Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion |
| 2025 | ICLR | Does Refusal Training in LLMs Generalize to the Past Tense? | Maksym Andriushchenko, Nicolas Flammarion |
| 2025 | ICLR | AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents. | Maksym Andriushchenko, Alexandra Souly, Mateusz Dziemian, Derek Duenas, Maxwell Lin, Justin Wang, Dan Hendrycks, Andy Zou, J. Zico Kolter, Matt Fredrikson, Yarin Gal, Xander Davies |
| 2025 | ICLR | Is In-Context Learning Sufficient for Instruction Following in LLMs? | Hao Zhao, Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion |
| 2025 | UAI | Critical Influence of Overparameterization on Sharpness-aware Minimization. | Sungbin Shin, Dongyeop Lee, Maksym Andriushchenko, Namhoon Lee |
| 2024 | ICLR | Layer-wise linear mode connectivity. | Linara Adilova, Maksym Andriushchenko, Michael Kamp, Asja Fischer, Martin Jaggi |
| 2024 | ICML | Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning. | Hao Zhao, Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion |
| 2023 | ICML | A Modern Look at the Relationship between Sharpness and Generalization. | Maksym Andriushchenko, Francesco Croce, Maximilian Mller, Matthias Hein, Nicolas Flammarion |
| 2023 | ICML | SGD with Large Step Sizes Learns Sparse Features. | Maksym Andriushchenko, Aditya Vardhan Varre, Loucas Pillaud-Vivien, Nicolas Flammarion |
| 2022 | AAAI | Sparse-RS: A Versatile Framework for Query-Efficient Sparse Black-Box Adversarial Attacks. | Francesco Croce, Maksym Andriushchenko, Naman D. Singh, Nicolas Flammarion, Matthias Hein |
| 2022 | CVPR | ARIA: Adversarially Robust Image Attribution for Content Provenance. | Maksym Andriushchenko, Xiaoyang Rebecca Li, Geoffrey Oxholm, Thomas Gittings, Tu Bui, Nicolas Flammarion, John P. Collomosse |
| 2022 | ICML | Towards Understanding Sharpness-Aware Minimization. | Maksym Andriushchenko, Nicolas Flammarion |
| 2022 | UAI | On the effectiveness of adversarial training against common corruptions. | Klim Kireev, Maksym Andriushchenko, Nicolas Flammarion |
| 2021 | ICLR | On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines. | Marius Mosbach, Maksym Andriushchenko, Dietrich Klakow |
| 2020 | ECCV | Square Attack: A Query-Efficient Black-Box Adversarial Attack via Random Search. | Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion, Matthias Hein |
| 2019 | AISTATS | Provable Robustness of ReLU networks via Maximization of Linear Regions. | Francesco Croce, Maksym Andriushchenko, Matthias Hein |
| 2019 | CVPR | Why ReLU Networks Yield High-Confidence Predictions Far Away From the Training Data and How to Mitigate the Problem. | Matthias Hein, Maksym Andriushchenko, Julian Bitterwolf |
| 2019 | CVPR | Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem. | Matthias Hein, Maksym Andriushchenko, Julian Bitterwolf |