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Canada-0-SCREWS कंपनी निर्देशिकाएँ
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कंपनी समाचार :
- Examen doctoral de Typhanel Orson Mengara - INRS
Typhanel Orson Mengara soutiendra son examen doctoral en télécommunications « Protéger les dispositifs de reconnaissance automatique de la parole contre les intrusions par porte dérobée » le 12 décembre 2023, à 9 h
- [2402. 05967] The last Dance : Robust backdoor attack via diffusion . . .
View a PDF of the paper titled The last Dance : Robust backdoor attack via diffusion models and bayesian approach, by Orson Mengara
- Orson Mengara - dblp
Heitor R Guimarães, Yi Zhu, Orson Mengara, Anderson R Avila, Tiago H Falk: Assessing the Vulnerability of Self-Supervised Speech Representations for Keyword Spotting Under White-Box Adversarial Attacks
- Orson Mengara | IEEE Xplore Author Details
Orson Mengara currently pursuing the Ph D degree in computer science with INRS-EMT, QC, Canada His current research interest includes adversarial machine learning
- Trading Devil: Robust backdoor attack via Stochastic investment models . . .
Orson Mengara, 2024 "Trading Devil: Robust backdoor attack via Stochastic investment models and Bayesian approach," Papers 2406 10719, arXiv org, revised Apr 2025 Handle: RePEc:arx:papers:2406 10719
- Orson Mengara - Papers With Code
no code implementations • 15 Jun 2024 • Orson Mengara With the growing use of voice-activated systems and speech recognition technologies, the danger of backdoor attacks on audio data has grown significantly
- The last Dance : Robust backdoor attack via diffusion models and . . .
(DOI: 10 48550 arxiv 2402 05967) Diffusion models are state-of-the-art deep learning generative models that are trained on the principle of learning forward and backward diffusion processes via the progressive addition of noise and denoising In this paper, we seek to trick audio-based DNN models, such as those in the Hugging Face framework, for example, those that focus on audio, in
- arXiv:2402. 05967v7 [cs. LG] 20 Apr 2025
{orson mengara@inrs ca} Diffusion models are state-of-the-art deep learning generative models that are trained on the principle of learning forward and backward
- Backdoor Attacks to Deep Neural Networks: A Survey of the Literature . . .
Authors：Orson Mengara; Anderson Avila; Tiago H Falk Published date：2024--DOI：10 1109 access 2024 3355816 PDF link：https: ieeexplore ieee org stampPDF getPDF jsp?arnumber=10403914 Article link：https: doi org 10 1109 access 2024 3355816 Article Source：Institute of Electrical and Electronics Engineers (IEEE)。 Remark：
- Papers with Code - Trading Devil Final: Backdoor attack via Stock . . .
21 Jul 2024 · Orson Mengara · Edit social preview Since the advent of generative artificial intelligence, every company and researcher has been rushing to develop their own generative models, whether commercial or not
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