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pro vyhledávání: '"A. Sadik"'
As the integration of the Large Language Models (LLMs) into various applications increases, so does their susceptibility to misuse, raising significant security concerns. Numerous jailbreak attacks have been proposed to assess the security defense of
Externí odkaz:
http://arxiv.org/abs/2411.06426
Autor:
Deger, Nihat Sadik, Deral, Ceren Ayse
We study timelike supersymmetric solutions of a $D=3, N=4$ gauged supergravity using Killing spinor bilinears method and prove that AdS$_3$ is the only solution within this class. We then consider the ungauged version of this model. It is found that
Externí odkaz:
http://arxiv.org/abs/2411.04437
A Multi Robot System (MRS) is the infrastructure of an intelligent cyberphysical system, where the robots understand the need of the human, and hence cooperate together to fulfill this need. Modeling an MRS is a crucial aspect of designing the proper
Externí odkaz:
http://arxiv.org/abs/2411.02468
Leveraging Large Language Models (LLM) like GPT4 in the auto generation of code represents a significant advancement, yet it is not without its challenges. The ambiguity inherent in natural language descriptions of software poses substantial obstacle
Externí odkaz:
http://arxiv.org/abs/2410.18489
As Systems of Systems evolve into increasingly complex networks, harnessing their collective potential becomes paramount. Traditional SoS engineering approaches lack the necessary programmability to develop third party SoS level behaviors. To address
Externí odkaz:
http://arxiv.org/abs/2410.17784
Constrained Reinforcement Learning (CRL) is a subset of machine learning that introduces constraints into the traditional reinforcement learning (RL) framework. Unlike conventional RL which aims solely to maximize cumulative rewards, CRL incorporates
Externí odkaz:
http://arxiv.org/abs/2410.08022
Minimal massive supergravity is the supersymmetric extension of minimal massive gravity in three dimensions. The theory admits a supersymmetric anti-de Sitter vacuum around which the propagating modes of spin 2 and 3/2 combine into a supermultiplet.
Externí odkaz:
http://arxiv.org/abs/2410.07964
Federated Learning (FL) has gained attention across various industries for its capability to train machine learning models without centralizing sensitive data. While this approach offers significant benefits such as privacy preservation and decreased
Externí odkaz:
http://arxiv.org/abs/2409.11442
Autor:
Sadik, John, Ruoti, Scott
Password managers encourage users to generate passwords to improve their security. However, research has shown that users avoid generating passwords, often giving the rationale that it is difficult to enter generated passwords on devices without a pa
Externí odkaz:
http://arxiv.org/abs/2409.03044
Multi-agent Reinforcement Learning (MARL) is emerging as a key framework for various sequential decision-making and control tasks. Unlike their single-agent counterparts, multi-agent systems necessitate successful cooperation among the agents. The de
Externí odkaz:
http://arxiv.org/abs/2408.06503