Zobrazeno 1 - 10
of 1 729
pro vyhledávání: '"Bagdasaryan, A."'
Autor:
Ghalebikesabi, Sahra, Bagdasaryan, Eugene, Yi, Ren, Yona, Itay, Shumailov, Ilia, Pappu, Aneesh, Shi, Chongyang, Weidinger, Laura, Stanforth, Robert, Berrada, Leonard, Kohli, Pushmeet, Huang, Po-Sen, Balle, Borja
Advanced AI assistants combine frontier LLMs and tool access to autonomously perform complex tasks on behalf of users. While the helpfulness of such assistants can increase dramatically with access to user information including emails and documents,
Externí odkaz:
http://arxiv.org/abs/2408.02373
Autor:
Shumailov, Ilia, Hayes, Jamie, Triantafillou, Eleni, Ortiz-Jimenez, Guillermo, Papernot, Nicolas, Jagielski, Matthew, Yona, Itay, Howard, Heidi, Bagdasaryan, Eugene
Exact unlearning was first introduced as a privacy mechanism that allowed a user to retract their data from machine learning models on request. Shortly after, inexact schemes were proposed to mitigate the impractical costs associated with exact unlea
Externí odkaz:
http://arxiv.org/abs/2407.00106
Text-conditional diffusion models, i.e. text-to-image, produce eye-catching images that represent descriptions given by a user. These images often depict benign concepts but could also carry other purposes. Specifically, visual information is easy to
Externí odkaz:
http://arxiv.org/abs/2406.15213
In this paper, we are aiming to propose a novel mathematical model that studies the dynamics of synaptic damage in terms of concentrations of toxic neuropeptides/neurotransmitters during neurotransmission processes. Our primary objective is to employ
Externí odkaz:
http://arxiv.org/abs/2406.06726
Multi-modal embeddings encode texts, images, thermal images, sounds, and videos into a single embedding space, aligning representations across different modalities (e.g., associate an image of a dog with a barking sound). In this paper, we show that
Externí odkaz:
http://arxiv.org/abs/2308.11804
We demonstrate how images and sounds can be used for indirect prompt and instruction injection in multi-modal LLMs. An attacker generates an adversarial perturbation corresponding to the prompt and blends it into an image or audio recording. When the
Externí odkaz:
http://arxiv.org/abs/2307.10490
Publikováno v:
Journal of Human, Earth, and Future, Vol 5, Iss 3, Pp 366-386 (2024)
To develop a mathematical model for managing dental services as a Markov random process based on the state graph of the process of providing dental care to the population. Markov chains, limiting probabilities of states and equations of A.N. Kolmogor
Externí odkaz:
https://doaj.org/article/e8303cca61384f7785ab22fc0072cec4
Autor:
D. B. Giller, S. S. Saenko, A. N. Gerasimov, G. V. Shcherbakova, A. A. Popova, V. A. Basangova, A. N. Ilyukhin, O. Sh. Kesaev, E. A. Bagdasaryan
Publikováno v:
Инновационная медицина Кубани, Vol 0, Iss 3, Pp 8-15 (2024)
Objective: To study and compare surgical risks and immediate effectiveness of surgical treatment in patients with multidrug-resistant (MDR) and extensively drug-resistant (XDR) tuberculosis (TB).Materials and methods: We examined immediate treatment
Externí odkaz:
https://doaj.org/article/3111721242354d248214380653b9d368
Autor:
Bagdasaryan, Eugene, Shmatikov, Vitaly
Machine learning (ML) models trained on data from potentially untrusted sources are vulnerable to poisoning. A small, maliciously crafted subset of the training inputs can cause the model to learn a "backdoor" task (e.g., misclassify inputs with a ce
Externí odkaz:
http://arxiv.org/abs/2302.04977
Publikováno v:
Высшее образование в России, Vol 33, Iss 4, Pp 33-48 (2024)
An analytical review of the models and risks in the researcher’s reproduction system in the scientific specialty “1.2.1. Artificial Intelligence and Machine Learning” is presented. The issues of graduate school management and regulatory barrier
Externí odkaz:
https://doaj.org/article/8e23abe9fbed4e578e05e2ae104d0ad9