@article{dorseuil2026ReliableEstimation,title={Reliable Estimation of Differential Privacy under Selection Bias},author={Dorseuil, Valentin and Annamalai, Meenatchi Sundaram Muthu Selva and Atif, Jamal and Cappé, Olivier and Papernot, Nicolas},year={2026},archiveprefix={arXiv},journal={arXiv preprint},url={https://arxiv.org/abs/2610.27021},}
@article{dagreou2026DetectabilityWithoutInterference,title={Detectability without Interference: Efficient Canary Design for Privacy Auditing in One Run},author={Dagérou, Mathieu and Dorseuil, Valentin and Yaghini, Mohammad and Papernot, Nicolas and Bellet, Aurélien},year={2026},archiveprefix={arXiv},journal={arXiv preprint},primaryclass={cs.LG},url={https://arxiv.org/abs/2605.27292},}
NeurIPS
Assessing Per-Sample Membership Inference Vulnerability without Retraining
Valentin Dorseuil, Jamal Atif, and Olivier Cappé
In Advances in Neural Information Processing Systems (NeurIPS), 2026
@inproceedings{dorseuil2026AssessingPerSample,title={Assessing Per-Sample Membership Inference Vulnerability without Retraining},author={Dorseuil, Valentin and Atif, Jamal and Cappé, Olivier},year={2026},booktitle={Advances in Neural Information Processing Systems (NeurIPS)},url={https://arxiv.org/abs/2602.15919},}