Martin Gubri - RankMe

28 papers A* 2A 1B 1Journal 18Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MASEval: Extending Multi-Agent Evaluation from Models to Systems. CoRR Cornelius Emde, Alexander Rubinstein, Anmol Goel, Ahmed Heakl, Sangdoo Yun, Seong Joon Oh, Martin Gubri
2026	J	`jnl`	Privacy Collapse: Benign Fine-Tuning Can Break Contextual Privacy in Language Models. CoRR Anmol Goel, Cornelius Emde, Sangdoo Yun, Seong Joon Oh, Martin Gubri
2025	J	`jnl`	C-SEO Bench: Does Conversational SEO Work? CoRR Haritz Puerto, Martin Gubri, Tommaso Green, Seong Joon Oh, Sangdoo Yun
2025	J	`jnl`	DISCO: Diversifying Sample Condensation for Efficient Model Evaluation. CoRR Alexander Rubinstein, Benjamin Raible, Martin Gubri, Seong Joon Oh
2025	J	`jnl`	Dr.LLM: Dynamic Layer Routing in LLMs. CoRR Ahmed Heakl, Martin Gubri, Salman Khan, Sangdoo Yun, Seong Joon Oh
2025	J	`jnl`	Is Multilingual LLM Watermarking Truly Multilingual? A Simple Back-Translation Solution. CoRR Asim Mohamed, Martin Gubri
2025	A*	`conf`	Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers. EMNLP Tommaso Green, Martin Gubri, Haritz Puerto, Sangdoo Yun, Seong Joon Oh
2025	J	`jnl`	Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers. CoRR Tommaso Green, Martin Gubri, Haritz Puerto, Sangdoo Yun, Seong Joon Oh
2025	—	`conf`	Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models. NAACL (Findings) Haritz Puerto, Martin Gubri, Sangdoo Yun, Seong Joon Oh
2025	J	`jnl`	Testing Uniform Random Samplers: Methods, Datasets and Protocols. CoRR Olivier Zeyen, Maxime Cordy, Martin Gubri, Gilles Perrouin, Mathieu Acher
2024	—	`conf`	Calibrating Large Language Models Using Their Generations Only. ACL (1) Dennis Ulmer, Martin Gubri, Hwaran Lee, Sangdoo Yun, Seong Joon Oh
2024	J	`jnl`	Calibrating Large Language Models Using Their Generations Only. CoRR Dennis Ulmer, Martin Gubri, Hwaran Lee, Sangdoo Yun, Seong Joon Oh
2024	J	`jnl`	Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models. CoRR Haritz Puerto, Martin Gubri, Sangdoo Yun, Seong Joon Oh
2024	J	`jnl`	Social Science Is Necessary for Operationalizing Socially Responsible Foundation Models. CoRR Adam Davies, Elisa Nguyen, Michael Simeone, Erik Johnston, Martin Gubri
2024	—	`conf`	TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification. ACL (Findings) Martin Gubri, Dennis Ulmer, Hwaran Lee, Sangdoo Yun, Seong Joon Oh
2024	J	`jnl`	TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification. CoRR Martin Gubri, Dennis Ulmer, Hwaran Lee, Sangdoo Yun, Seong Joon Oh
2023	J	`jnl`	Going Further: Flatness at the Rescue of Early Stopping for Adversarial Example Transferability. CoRR Martin Gubri, Maxime Cordy, Yves Le Traon
2023	A*	`conf`	ProPILE: Probing Privacy Leakage in Large Language Models. NeurIPS Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh
2023	J	`jnl`	ProPILE: Probing Privacy Leakage in Large Language Models. CoRR Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh
2023	—	`—`	What Matters in Model Training to Transfer Adversarial Examples. Martin Gubri
2022	A	`conf`	Efficient and transferable adversarial examples from bayesian neural networks. UAI Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon, Koushik Sen
2022	B	`conf`	Influence-driven data poisoning in graph-based semi-supervised classifiers. CAIN Adriano Franci, Maxime Cordy, Martin Gubri, Mike Papadakis, Yves Le Traon
2022	—	`conf`	LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity. ECCV (4) Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon, Koushik Sen
2022	J	`jnl`	LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity. CoRR Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon, Koushik Sen
2020	J	`jnl`	Effective and Efficient Data Poisoning in Semi-Supervised Learning. CoRR Adriano Franci, Maxime Cordy, Martin Gubri, Mike Papadakis, Yves Le Traon
2020	J	`jnl`	Efficient and Transferable Adversarial Examples from Bayesian Neural Networks. CoRR Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon
2020	—	`conf`	Search-based adversarial testing and improvement of constrained credit scoring systems. ESEC/SIGSOFT FSE Salah Ghamizi, Maxime Cordy, Martin Gubri, Mike Papadakis, Andrey Boytsov, Yves Le Traon, Anne Goujon
2018	J	`jnl`	Adversarial Perturbation Intensity Achieving Chosen Intra-Technique Transferability Level for Logistic Regression. CoRR Martin Gubri