Tootfinder

Monitoring Decomposition Attacks in LLMs with Lightweight Sequential Monitors
Chen Yueh-Han, Nitish Joshi, Yulin Chen, Maksym Andriushchenko, Rico Angell, He He
https://arxiv.org/abs/2506.10949

Monitoring Decomposition Attacks in LLMs with Lightweight Sequential Monitors
Current LLM safety defenses fail under decomposition attacks, where a malicious goal is decomposed into benign subtasks that circumvent refusals. The challenge lies in the existing shallow safety alignment techniques: they only detect harm in the immediate prompt and do not reason about long-range intent, leaving them blind to malicious intent that emerges over a sequence of seemingly benign instructions. We therefore propose adding an external monitor that observes the conversation at a higher…

Fog ransomware attack on Asia financial org draws attention over use of employee monitoring software https://therecord.media/fog-ransomware-incident-asia-financial-org-employee-monitoring

From Tea Leaves to System Maps: Context-awareness in Monitoring Operational Machine Learning Models
Joran Leest, Claudia Raibulet, Patricia Lago, Ilias Gerostathopoulos
https://arxiv.org/abs/2506.10770

From Tea Leaves to System Maps: Context-awareness in Monitoring Operational Machine Learning Models
Machine learning (ML) models in production do not fail due to statistical anomalies in their input data; they fail due to contextual misalignment -- when their environment deviates from training assumptions, leading to unreliable predictions. Effective ML monitoring requires rich contextual information to move beyond detecting statistical shifts toward meaningful alerts and systematic root-cause analysis. Yet, surprisingly, despite extensive research in ML monitoring and related disciplines (dr…

Agent-based Condition Monitoring Assistance with Multimodal Industrial Database Retrieval Augmented Generation
Karl L\"owenmark, Daniel Str\"ombergsson, Chang Liu, Marcus Liwicki, Fredrik Sandin
https://arxiv.org/abs/2506.09247

Agent-based Condition Monitoring Assistance with Multimodal Industrial Database Retrieval Augmented Generation
Condition monitoring (CM) plays a crucial role in ensuring reliability and efficiency in the process industry. Although computerised maintenance systems effectively detect and classify faults, tasks like fault severity estimation, and maintenance decisions still largely depend on human expert analysis. The analysis and decision making automatically performed by current systems typically exhibit considerable uncertainty and high false alarm rates, leading to increased workload and reduced effici…

Asymptotic Fate of Continuously Monitored Quantum Systems
Finn Schmolke
https://arxiv.org/abs/2506.10873 https://arxiv.org/pdf/2506.1…

Asymptotic Fate of Continuously Monitored Quantum Systems
A quantum trajectory is the natural response of a quantum system subject to external perturbations due to continuous indirect measurement. We completely characterize the asymptotic behavior of continuously monitored quantum systems in finite dimensions and show that generically, spontaneous irreversible localization transitions on the level of individual realizations occur, where the evolution becomes effectively constrained to one of the irreducible components of the total Hilbert space. More …

Series D, Episode 11 - Orbit
PINDER: Egrorian? Egrorian? They're here! Come and see. [Egrorian enters. He slaps Pinder away from the monitor. They look at the monitor and laugh hysterically.]
[Back on Scorpio]
https://blake.torpidity.net/m/411/9 B7B3

Blakes7Bot | Search
Companion site to the Blakes7Bot Twitter, Mastodon, and Bluesky accounts. Automated lines of Blakes 7 dialog. Includes a script search facility.

Train supprimé :
- Train KOHO départ Melun 17h57, arrivée Montereau 18h34.
Prochain train Š circuler pour Montereau via Héricy :
- Train KOHO départ Melun 18h19, arrivée Montereau 18h56.
Pour plus d’informations sur cette perturbation, consultez le fil X de la ligne R.
Motif : conditions météorologiques.
🤖 12/06 17:34

Intelligent Travel Activity Monitoring: Generalized Distributed Acoustic Sensing Approaches
Ruikang Zhong, Chia-Yen Chiang, Mona Jaber, Rupert De Wilde, Peter Hayward
https://arxiv.org/abs/2506.10237

Intelligent Travel Activity Monitoring: Generalized Distributed Acoustic Sensing Approaches
Obtaining data on active travel activities such as walking, jogging, and cycling is important for refining sustainable transportation systems (STS). Effectively monitoring these activities not only requires sensing solutions to have a joint feature of being accurate, economical, and privacy-preserving, but also enough generalizability to adapt to different climate environments and deployment conditions. In order to provide a generalized sensing solution, a deep learning (DL)-enhanced distribute…

Garmin unveils the $799 Venu X1 smartwatch with a 2" square AMOLED screen, a titanium body, an eight-day battery, and a blood oxygen monitor, coming on June 18 (Emma Roth/The Verge)
https://www.theverge.com/news/686325/garmin-venu-x1-smart…

Garmin’s Venu X1 smartwatch has its biggest display and smallest case yet
Garmin has revealed the Venu X1, a premium smartwatch that features a two-inch display and its thinnest case yet. The watch costs $799.99 and launches on June 18th, 2025.

Description and Discussion on DCASE 2025 Challenge Task 2: First-shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring
Tomoya Nishida, Noboru Harada, Daisuke Niizumi, Davide Albertini, Roberto Sannino, Simone Pradolini, Filippo Augusti, Keisuke Imoto, Kota Dohi, Harsh Purohit, Takashi Endo, Yohei Kawaguchi
https://

Description and Discussion on DCASE 2025 Challenge Task 2: First-shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring
This paper introduces the task description for the Detection and Classification of Acoustic Scenes and Events (DCASE) 2025 Challenge Task 2, titled "First-shot unsupervised anomalous sound detection (ASD) for machine condition monitoring." Building on the DCASE 2024 Challenge Task 2, this task is structured as a first-shot problem within a domain generalization framework. The primary objective of the first-shot approach is to facilitate the rapid deployment of ASD systems for new machine types …