Maksym Andriushchenko
Maksym Andriushchenko has 3 papers in our library, in 2024, most of them on Language models & pretraining, Bias, fairness & safety, Evaluation & benchmarks; often with Francesco Croce, Nicolas Flammarion, Alexander Robey.
OpenAlex · h-index 15 · 36 works · 2,340 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 366 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #4353
Affiliations
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 3 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 worksComputer Networks and Communications · 1 work
🧭 Topics 3Research subjects and languages the work is about.Bias, fairness & safety · 2 worksLanguage models & pretraining · 2 worksEvaluation & benchmarks · 1 work
Works by year
2020s
Papers
- JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models (2024 · 277 citations)
Research on jailbreaking LLMs has been hard to compare. Studies use different definitions of a successful attack and count costs and success rates differently. Many also keep their adversarial prompts private, release no code, or depend on proprietary APIs that change over time. JailbreakBench (NeurIPS 2024, Datasets… - Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks (2024 · 118 citations)
The paper asks whether today's safety-aligned LLMs can withstand jailbreaks that are tailored to each target model rather than applied uniformly. - Improving Alignment and Robustness with Circuit Breakers (2024 · 83 citations)
Language models trained to refuse harmful requests can still be jailbroken. Adversarial training usually protects only against attacks seen during training, and it reduces capability. Zou et al. propose "circuit breakers," which change the model's internal representations instead of patching individual attack routes.…
All works
- Why ReLU Networks Yield High-Confidence Predictions Far Away From the Training Data and How to Mitigate the Problem ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMatthias Hein, Maksym Andriushchenko, Julian Bitterwolf2019 · 438 citations
- JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Patrick Chao, Edoardo Debenedetti, Alexander Robey, et al.2024 · 277 citations
- Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive AttacksarXiv:2404.02151Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion2024 · 118 citations
- Improving Alignment and Robustness with Circuit BreakersConference on Neural Information Processing Systems (NeurIPS)Andy Zou, Long Phan, Justin Wang, et al.2024 · 83 citations
Co-authors here
- Francesco Croce ×2
- Nicolas Flammarion ×2
- Alexander Robey
- Andy Zou
- Dan Hendrycks
- Edgar Dobriban
- Eric Wong
- Florian Tramer
- George J. Pappas
- Hamed Hassani
- Long Phan
- Matt Fredrikson
Venues
- Conference on Neural Information Processing Systems (NeurIPS) ×2: NeurIPS 2024 ×2
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
Cited by
Updated
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