Tootfinder

Perry: A High-level Framework for Accelerating Cyber Deception Experimentation
Brian Singer, Yusuf Saquib, Lujo Bauer, Vyas Sekar
https://arxiv.org/abs/2506.20770

Perry: A High-level Framework for Accelerating Cyber Deception Experimentation
Cyber deception aims to distract, delay, and detect network attackers with fake assets such as honeypots, decoy credentials, or decoy files. However, today, it is difficult for operators to experiment, explore, and evaluate deception approaches. Existing tools and platforms have non-portable and complex implementations that are difficult to modify and extend. We address this pain point by introducing Perry, a high-level framework that accelerates the design and exploration of deception what-if …

Can LLMs Replace Humans During Code Chunking?
Christopher Glasz, Emily Escamilla, Eric O. Scott, Anand Patel, Jacob Zimmer, Colin Diggs, Michael Doyle, Scott Rosen, Nitin Naik, Justin F. Brunelle, Samruddhi Thaker, Parthav Poudel, Arun Sridharan, Amit Madan, Doug Wendt, William Macke, Thomas Schill
https://arxiv.org/abs/2506.198…

Can LLMs Replace Humans During Code Chunking?
Large language models (LLMs) have become essential tools in computer science, especially for tasks involving code understanding and generation. However, existing work does not address many of the unique challenges presented by code written for government applications. In particular, government enterprise software is often written in legacy languages like MUMPS or assembly language code (ALC) and the overall token lengths of these systems exceed the context window size for current commercially a…

Empirical estimator of diversification quotient
Xia Han, Liyuan Lin, Mengshi Zhao
https://arxiv.org/abs/2506.20385 https://arxiv.org/…

Empirical estimator of diversification quotient
The Diversification Quotient (DQ), introduced by Han et al. (2025), is a recently proposed measure of portfolio diversification that quantifies the reduction in a portfolio's risk-level parameter attributable to diversification. Grounded in a rigorous theoretical framework, DQ effectively captures heavy tails, common shocks, and enhances efficiency in portfolio optimization. This paper further explores the convergence properties and asymptotic normality of empirical DQ estimators based on Value…

Video by UC Berkeley Prof. Hany Farid on tools to detect if an image is made by AI, and why that's important. Well worth the 12 minutes to watch - he's a fantastic lecturer.
https://www.youtube.com/watch?v=q5_PrTvNypY

Source: Fox has officially closed its upfront discussions, reaching $2B for core sports properties, excluding the World Cup, for the first time (Saleah Blancaflor/Adweek)
https://www.adweek.com/convergent-tv/fox-wraps-upfront-2-billion-sports-properties/…

Fox Wraps Upfront, Reaches $2 Billion for Core Sports Properties
Fox closed its upfront talks with double-digit volume growth across its portfolio.

Hey,
I just reuploaded my lightning talk at Pass the Salt 2025 about secret deployment in virtual infrastructures using AF_VSOCK. I added subtitles in English and French for those interested.
https://peertube.stream/w/eidYHtjaeE6nZtTbpy722r

Laboratory Investigation of CO2-Driven Enhancement of Radiolytic H2O2 on Europa and Other Icy Moons
Bereket D. Mamo, Ujjwal Raut, Ben D. Teolis, Trevor P. Erwin, Richard J. Cartwright, Silvia Protopapa, Kurt D. Retherford, Tom A. Nordheim
https://arxiv.org/abs/2506.15819

Laboratory Investigation of CO2-Driven Enhancement of Radiolytic H2O2 on Europa and Other Icy Moons
Observations of Europa's leading hemisphere reveal elevated H2O2 in the warmer, low latitude chaos terrains compared to the colder, polar regions. This distribution disagrees with prior laboratory radiolysis studies of pure water ice, which show higher H2O2 yields at colder temperatures. The regions with higher peroxide abundance, Tara and Powys Regiones, also present increased amounts of CO2, possibly sourced from Europa's interior. To investigate whether CO2 influences radiolysis of water ice…

PyVision: Agentic Vision with Dynamic Tooling
Shitian Zhao, Haoquan Zhang, Shaoheng Lin, Ming Li, Qilong Wu, Kaipeng Zhang, Chen Wei
https://arxiv.org/abs/2507.07998

PyVision: Agentic Vision with Dynamic Tooling
LLMs are increasingly deployed as agents, systems capable of planning, reasoning, and dynamically calling external tools. However, in visual reasoning, prior approaches largely remain limited by predefined workflows and static toolsets. In this report, we present PyVision, an interactive, multi-turn framework that enables MLLMs to autonomously generate, execute, and refine Python-based tools tailored to the task at hand, unlocking flexible and interpretable problem-solving. We develop a taxonom…

Behavioral Probability Weighting and Portfolio Optimization under Semi-Heavy Tails
Ayush Jha, Abootaleb Shirvani, Ali M. Jaffri, Svetlozar T. Rachev, Frank J. Fabozzi
https://arxiv.org/abs/2507.04208

Behavioral Probability Weighting and Portfolio Optimization under Semi-Heavy Tails
This paper develops a unified framework that integrates behavioral distortions into rational portfolio optimization by extracting implied probability weighting functions (PWFs) from optimal portfolios modeled under Gaussian and Normal-Inverse-Gaussian (NIG) return distributions. Using DJIA constituents, we construct mean-CVaR99 frontiers, alongwith Sharpe- and CVaR-maximizing portfolios, and estimate PWFs that capture nonlinear beliefs consistent with fear and greed. We show that increasing tai…