Tootfinder

Faculty Job!
Associate Professor/Professor - Dr. Davindra Singh Chair in Sikh Studies, University of Toronto Mississauga.
The Department of Historical Studies - my department - is a genuinely great place to work. Please share and let me know if you have any questions.

Russian propaganda attacks the West: Hitler, NATO, and the Threat of World War III | Hate Speech: https://benborges.xyz/2025/07/30/russian-propaganda-attacks-the-west.html

A key element of the administration’s proposal is to redefine what it means for air pollution to cause harm.
If a pollutant causes climate change, it would no longer count as hurting us.
This runs counter to both basic logic and a growing mountain of science documenting direct harms from greenhouse gas

Proposed Rule: Reconsideration of 2009 Endangerment Finding and Greenhouse Gas Vehicle Standards | US EPA
The proposed rule on the reconsideration of the greenhouse gas endangerment finding and motor vehicle rule

The #PSF has withdrawn a $1.5 million proposal to US government grant program
https://pyfound.blogspot.com/2025/10/NSF-funding-statement.html
In order to not comply with…

GPM: The Gaussian Pancake Mechanism for Planting Undetectable Backdoors in Differential Privacy
Haochen Sun, Xi He
https://arxiv.org/abs/2509.23834 https://

GPM: The Gaussian Pancake Mechanism for Planting Undetectable Backdoors in Differential Privacy
Differential privacy (DP) has become the gold standard for preserving individual privacy in data analysis. However, an implicit yet fundamental assumption underlying these rigorous privacy guarantees is the correct implementation and execution of DP mechanisms. Several incidents of unintended privacy loss have occurred due to numerical issues and inappropriate configurations of DP software, which have been successfully exploited in privacy attacks. To better understand the seriousness of defect…

🚨Job Alert!!🚨Assistant Professor - Mineral Science - University of Houston, Texas. High-temperature #geochemistry, #Mineralogy, igneous #petrology, and/or

Assistant Professor - Mineral Science - Houston, Texas, United States
Department: Earth & Atmospheric Sciences Salary: Commensurate with experience Description: The Department of Earth and Atmospheric Sciences (EAS) at the University of Houston (UH) invites applications for a tenure-track Assistant Professor in the broad field of Mineral Science. Applicants with experience in high-temperature geochemistry, mineralogy, igneous petrology, and/or metamorphic petrology are encouraged to apply. EAS seeks candidates who utilize multi-scale field, laboratory and/…

Perfect Cowboys NFL Draft plan: Here's how Jerry Jones can reshape roster following Micah Parsons trade

https://www.cbssports.com/nfl/news/perfect

Privacy Mechanism Design based on Empirical Distributions
Leonhard Grosse, Sara Saeidian, Mikael Skoglund, Tobias J. Oechtering
https://arxiv.org/abs/2509.22428 https://

Privacy Mechanism Design based on Empirical Distributions
Pointwise maximal leakage (PML) is a per-outcome privacy measure based on threat models from quantitative information flow. Privacy guarantees with PML rely on knowledge about the distribution that generated the private data. In this work, we propose a framework for PML privacy assessment and mechanism design with empirical estimates of this data-generating distribution. By extending the PML framework to consider sets of data-generating distributions, we arrive at bounds on the worst-case leaka…

Accuracy-First R\'enyi Differential Privacy and Post-Processing Immunity
Ossi R\"ais\"a, Antti Koskela, Antti Honkela
https://arxiv.org/abs/2509.22213 https://

Accuracy-First Rényi Differential Privacy and Post-Processing Immunity
The accuracy-first perspective of differential privacy addresses an important shortcoming by allowing a data analyst to adaptively adjust the quantitative privacy bound instead of sticking to a predetermined bound. Existing works on the accuracy-first perspective have neglected an important property of differential privacy known as post-processing immunity, which ensures that an adversary is not able to weaken the privacy guarantee by post-processing. We address this gap by determining which ex…

Not My Agent, Not My Boundary? Elicitation of Personal Privacy Boundaries in AI-Delegated Information Sharing
Bingcan Guo, Eryue Xu, Zhiping Zhang, Tianshi Li
https://arxiv.org/abs/2509.21712

Not My Agent, Not My Boundary? Elicitation of Personal Privacy Boundaries in AI-Delegated Information Sharing
Aligning AI systems with human privacy preferences requires understanding individuals' nuanced disclosure behaviors beyond general norms. Yet eliciting such boundaries remains challenging due to the context-dependent nature of privacy decisions and the complex trade-offs involved. We present an AI-powered elicitation approach that probes individuals' privacy boundaries through a discriminative task. We conducted a between-subjects study that systematically varied communication roles and delegat…