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An energy approach to pulsar-disc interaction: disc stability and implications for transitional millisecond pulsars
Eda Vurgun, Domingo Garc\'ia-Senz, Manuel Linares, K. Yavuz Eksi
https://arxiv.org/abs/2505.23407

An energy approach to pulsar-disc interaction: disc stability and implications for transitional millisecond pulsars
The stability of an accretion disc surrounding a millisecond pulsar is analysed from an energetic point of view, using magnetohydrodynamic simulations that consider realistic disc structures and a variety of magnetic field inclination angles. The time-averaged components of the magnetic field interact with the disc through ohmic dissipation, which causes heating and partial evaporation of its innermost region. The stability of the disc right after the magnetic field is turned on is analysed as …

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts?
Muntasir Wahed, Xiaona Zhou, Kiet A. Nguyen, Tianjiao Yu, Nirav Diwan, Gang Wang, Dilek Hakkani-T\"ur, Ismini Lourentzou
https://arxiv.org/abs/2507.19598

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts?
Recent advancements in Large Language Models (LLMs) have significantly enhanced their code generation capabilities. However, their robustness against adversarial misuse, particularly through multi-turn malicious coding prompts, remains underexplored. In this work, we introduce code decomposition attacks, where a malicious coding task is broken down into a series of seemingly benign subtasks across multiple conversational turns to evade safety filters. To facilitate systematic evaluation, we int…

AgentAlign: Navigating Safety Alignment in the Shift from Informative to Agentic Large Language Models
Jinchuan Zhang, Lu Yin, Yan Zhou, Songlin Hu
https://arxiv.org/abs/2505.23020

AgentAlign: Navigating Safety Alignment in the Shift from Informative to Agentic Large Language Models
The acquisition of agentic capabilities has transformed LLMs from "knowledge providers" to "action executors", a trend that while expanding LLMs' capability boundaries, significantly increases their susceptibility to malicious use. Previous work has shown that current LLM-based agents execute numerous malicious tasks even without being attacked, indicating a deficiency in agentic use safety alignment during the post-training phase. To address this gap, we propose AgentAlign, a novel framework t…

📢 Waffenruhe zwischen Thailand und Kambodscha vereinbart
Thailand und Kambodscha haben sich auf eine sofortige Feuerpause geeinigt. Das teilte der malaysische Ministerpräsident Anwar Ibrahim nach Verhandlungen der beiden Länder nach den jüngsten Auseinandersetzungen mit.
➡️ https://www.

Waffenruhe zwischen Thailand und Kambodscha vereinbart
Thailand und Kambodscha haben sich auf eine sofortige Feuerpause geeinigt. Das teilte der malaysische Ministerpräsident Anwar Ibrahim nach Verhandlungen der beiden Länder nach den jüngsten Auseinandersetzungen mit.

Nahe dem #Gletscher #Múlajökull in #Island zeigt sich im Sommer eine farbenreiche Landschaft.
Sedimentreiches

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters
Hayden Moore, Sirui Qi, Ninad Hogade, Dejan Milojicic, Cullen Bash, Sudeep Pasricha
https://arxiv.org/abs/2505.23554

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters
In recent years, Large Language Models (LLM) such as ChatGPT, CoPilot, and Gemini have been widely adopted in different areas. As the use of LLMs continues to grow, many efforts have focused on reducing the massive training overheads of these models. But it is the environmental impact of handling user requests to LLMs that is increasingly becoming a concern. Recent studies estimate that the costs of operating LLMs in their inference phase can exceed training costs by 25x per year. As LLMs are q…

An Open-source Implementation and Security Analysis of Triad's TEE Trusted Time Protocol
Matthieu Bettinger, Sonia Ben Mokhtar, Anthony Simonet-Boulogne
https://arxiv.org/abs/2507.20851

An Open-source Implementation and Security Analysis of Triad's TEE Trusted Time Protocol
The logic of many protocols relies on time measurements. However, in Trusted Execution Environments (TEEs) like Intel SGX, the time source is outside the Trusted Computing Base: a malicious system hosting the TEE can manipulate that TEE's notion of time, e.g., jumping in time or affecting the perceived time speed. Previous work like Triad propose protocols for TEEs to maintain a trustworthy time source. However, in this paper, based on a public implementation of Triad that we contribute, we emp…

Under the Hood of BlotchyQuasar: DLL-Based RAT Campaigns Against Latin America
Alessio Di Santo
https://arxiv.org/abs/2506.22323 https://

Under the Hood of BlotchyQuasar: DLL-Based RAT Campaigns Against Latin America
A sophisticated malspam campaign was recently uncovered targeting Latin American countries, with a particular focus on Brazil. This operation utilizes a highly deceptive phishing email to trick users into executing a malicious MSI file, initiating a multi-stage infection. The core of the attack leverages DLL side-loading, where a legitimate executable from Valve Corporation is used to load a trojanized DLL, thereby bypassing standard security defenses. Once active, the malware, a variant of Q…

Reliability Analysis of Smart Contract Execution Architectures: A Comparative Simulation Study
\"Onder G\"urcan
https://arxiv.org/abs/2506.22180 …

Reliability Analysis of Smart Contract Execution Architectures: A Comparative Simulation Study
The industrial market continuously needs reliable solutions to secure autonomous systems. Especially as these systems become more complex and interconnected, reliable security solutions are becoming increasingly important. One promising solution to tackle this challenge is using smart contracts designed to meet contractual conditions, avoid malicious errors, secure exchanges, and minimize the need for reliable intermediaries. However, smart contracts are immutable. Moreover, there are different…