Zobrazeno 1 - 10
of 5 937
pro vyhledávání: '"A. Frikha"'
In this work, we introduce PII-Scope, a comprehensive benchmark designed to evaluate state-of-the-art methodologies for PII extraction attacks targeting LLMs across diverse threat settings. Our study provides a deeper understanding of these attacks b
Externí odkaz:
http://arxiv.org/abs/2410.06704
Cr\'epey, Frikha, and Louzi (2023) introduced a multilevel stochastic approximation scheme to compute the value-at-risk of a financial loss that is only simulatable by Monte Carlo. The optimal complexity of the scheme is in $O({\varepsilon}^{-5/2})$,
Externí odkaz:
http://arxiv.org/abs/2408.06531
We consider reinforcement learning (RL) methods for finding optimal policies in linear quadratic (LQ) mean field control (MFC) problems over an infinite horizon in continuous time, with common noise and entropy regularization. We study policy gradien
Externí odkaz:
http://arxiv.org/abs/2408.02489
Autor:
Frikha, Ahmed, Walha, Nassim, Mendes, Ricardo, Nakka, Krishna Kanth, Jiang, Xue, Zhou, Xuebing
This work addresses the timely yet underexplored problem of performing inference and finetuning of a proprietary LLM owned by a model provider entity on the confidential/private data of another data owner entity, in a way that ensures the confidentia
Externí odkaz:
http://arxiv.org/abs/2407.02960
Autor:
Frikha, Ahmed, Walha, Nassim, Nakka, Krishna Kanth, Mendes, Ricardo, Jiang, Xue, Zhou, Xuebing
In this work, we address the problem of text anonymization where the goal is to prevent adversaries from correctly inferring private attributes of the author, while keeping the text utility, i.e., meaning and semantics. We propose IncogniText, a tech
Externí odkaz:
http://arxiv.org/abs/2407.02956
The latest and most impactful advances in large models stem from their increased size. Unfortunately, this translates into an improved memorization capacity, raising data privacy concerns. Specifically, it has been shown that models can output person
Externí odkaz:
http://arxiv.org/abs/2407.02943
Publikováno v:
European Psychiatry, Vol 64, Pp S586-S587 (2021)
Introduction Addictive behaviors and suicide have important risks that need to be explored for any patient followed at the department of psychiatry, possibly endangering his vital and psychosocial prognosis. Objectives Our study aims to identify th
Externí odkaz:
https://doaj.org/article/ff1f78d5661d480fbea6638f74d3b1d0
Publikováno v:
European Psychiatry, Vol 64, Pp S589-S589 (2021)
Introduction Nowadays, suicide is a global public health problem thus detection of risk factors more specifically individual factors can be used as a method for prevention and intervention. Objectives The aims of our study were to assess the incide
Externí odkaz:
https://doaj.org/article/545ac6c10c0e4c1880bc4d93f29593e0
Cr\'epey, Frikha, and Louzi (2023) introduced a nested stochastic approximation algorithm and its multilevel acceleration to compute the value-at-risk and expected shortfall of a random financial loss. We hereby establish central limit theorems for t
Externí odkaz:
http://arxiv.org/abs/2311.15333
In line with the methodology introduced in our recent article for formulating probabilistic representations of integration by parts involving killed diffusion, we establish an integration by parts formula for the first exit time of one-dimensional di
Externí odkaz:
http://arxiv.org/abs/2310.07266