Publications | Martin Gubri's Website

Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models

Calibrating Large Language Models Using Their Generations Only

TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification

ProPILE: Probing Privacy Leakage in Large Language Models

What Matters in Model Training to Transfer Adversarial Examples

Going Further: Flatness at the Rescue of Early Stopping for Adversarial Example Transferability

LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity

Efficient and Transferable Adversarial Examples from Bayesian Neural Networks

Influence-driven data poisoning in graph-based semi-supervised classifiers

Search-Based Adversarial Testing and Improvement of Constrained Credit Scoring Systems

Adversarial perturbation intensity strategy achieving chosen intra-technique transferability level for logistic regression