Tootfinder

Here we go again... 🙄
https://www.patrick-breyer.de/en/full-chat-control-proposal-leaked-attack-on-digital-privacy-of-correspondence-and-secure-encryption/

Georgia private school voucher bill criticized for diverting funds from public schools | Courthouse News Service
https://www.courthousenews.com/georgia-private-school-voucher-bill-criticized-for-diverting-funds…

Georgia private school voucher bill criticized for diverting funds from public schools
The new grant program gives state funds to families with qualifying children in low-performing schools to use for private or home schooling.

DTEK: Power supply restored for over 400,000 Ukrainian homes in February: https://benborges.xyz/2024/03/04/dtek-power-supply.html

Oddly I've been nominated to sit on the Open Source Initiative's board.
Elections close 18-Mar and you should (from tomorrow) be able to ask me awkward on-the-record questions about how I plan to make the world a better place through this link:
https://opensource.org/board-member/mi

Miles Goodhew
Miles has worked in the US, UK and Australia in both civil service and private industry roles. Taking a break from work, Miles is now looking to contribute to the open source community.

Wildest Dreams: Reproducible Research in Privacy-preserving Neural Network Training
Tanveer Khan, Mindaugas Budzys, Khoa Nguyen, Antonis Michalas
https://arxiv.org/abs/2403.03592 …

Wildest Dreams: Reproducible Research in Privacy-preserving Neural Network Training
Machine Learning (ML), addresses a multitude of complex issues in multiple disciplines, including social sciences, finance, and medical research. ML models require substantial computing power and are only as powerful as the data utilized. Due to high computational cost of ML methods, data scientists frequently use Machine Learning-as-a-Service (MLaaS) to outsource computation to external servers. However, when working with private information, like financial data or health records, outsourcing …

BREAKING: Amazon just revealed that operating its own datacenters has not been cost-effective, and therefore will shut them down and re-implement its AWS service on Microsoft's Azure platform.
Also, in a separate announcement today, Microsoft informed that, for economic reasons, it is shutting down its private datacenters and implementing its Azure service on Amazon's AWS platform.

A Survey on Privacy-Preserving Caching at Network Edge: Classification, Solutions, and Challenges
Xianzhi Zhang, Yipeng Zhou, Di Wu, Shazia Riaz, Quan Z. Sheng, Miao Hu, Linchang Xiao
https://arxiv.org/abs/2405.01844

A Survey on Privacy-Preserving Caching at Network Edge: Classification, Solutions, and Challenges
Caching content at the network edge is a popular and effective technique widely deployed to alleviate the burden of network backhaul, shorten service delay and improve service quality. However, there has been some controversy over privacy violations in caching content at the network edge. On the one hand, the multi-access open edge network provides an ideal surface for external attackers to obtain private data from the edge cache by extracting sensitive information. On the other hand, privacy c…

Really not liking that the “MDR” service/tool/people we’ve started using has no way to absorb the fact that the “detection” that I’ve marked as a FP and explained a dozen times will always be a FP. They cannot seem to do anything with the fact that our legit business involves securing private VPN connections between the US and India.
#Sysadminnery

Russia’s attack on Odesa postal depot destroys 15.5 tons of shipments: https://benborges.xyz/2024/05/02/russias-attack-on.html

🚗 Tokyo starts ride-hailing service — but it may not be what you expect
#japan

Tokyo starts ride-hailing service — but it may not be what you expect
The apps Go, Uber, S.Ride and Didi can all be used to hail private drivers alongside taxis during specific times of the day.

There is a manner of speaking infesting politics, media and even private conversations that is insulting to both the subject and the listener.
Trump's is the language of evil.
We have seen and heard him (between court appearances) deriding NATO, military service and the entire U.S. system of justice with derisive terms and facial expressions.
And it is not only Trump who is fouling the airwaves. Too many Republican politicians are infected with the fiendish attitude seep…

Trump's language of evil
"When presumably educated, responsible politicians sound as if they are preaching from a bar stool," Phyllis Zagano writes, "what can the rest of us do to remove angry denigration from whatever other pulpit we might be near?" 

Russia’s attack on Odesa postal depot destroys 15.5 tons of shipments: https://benborges.xyz/2024/05/02/russias-attack-on.html

This https://arxiv.org/abs/2305.12650 has been replaced.
link: https://scholar.google.com/scholar?q=a

When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions
Federated recommendation system usually trains a global model on the server without direct access to users' private data on their own devices. However, this separation of the recommendation model and users' private data poses a challenge in providing quality service, particularly when it comes to new items, namely cold-start recommendations in federated settings. This paper introduces a novel method called Item-aligned Federated Aggregation (IFedRec) to address this challenge. It is the first r…

Really not liking that the “MDR” service/tool/people we’ve started using has no way to absorb the fact that the “detection” that I’ve marked as a FP and explained a dozen times will always be a FP. They cannot seem to do anything with the fact that our legit business involves securing private VPN connections between the US and India.
#Sysadminnery

This https://arxiv.org/abs/2312.05264 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

All Rivers Run to the Sea: Private Learning with Asymmetric Flows
Data privacy is of great concern in cloud machine-learning service platforms, when sensitive data are exposed to service providers. While private computing environments (e.g., secure enclaves), and cryptographic approaches (e.g., homomorphic encryption) provide strong privacy protection, their computing performance still falls short compared to cloud GPUs. To achieve privacy protection with high computing performance, we propose Delta, a new private training and inference framework, with compar…

Advancing a Consent-Forward Paradigm for Digital Mental Health Data
Sachin R. Pendse, Logan Stapleton, Neha Kumar, Munmun De Choudhury, Stevie Chancellor
https://arxiv.org/abs/2404.14548

Advancing a Consent-Forward Paradigm for Digital Mental Health Data
The field of digital mental health is advancing at a rapid pace. Passively collected data from user engagements with digital tools and services continue to contribute new insights into mental health and illness. As the field of digital mental health grows, a concerning norm has been established -- digital service users are given little say over how their data is collected, shared, or used to generate revenue for private companies. Given a long history of service user exclusion from data collect…

Is the edge really necessary for drone computing offloading? An experimental assessment in carrier-grade 5G operator networks
David Candal-Ventureira, Francisco Javier Gonz\'alez-Casta\~no, Felipe Gil-Casti\~neira, Pablo Fondo-Ferreiro
https://arxiv.org/abs/2403.19729

Is the edge really necessary for drone computing offloading? An experimental assessment in carrier-grade 5G operator networks
In this article, we evaluate the first experience of computation offloading from drones to real fifth-generation (5G) operator systems, including commercial and private carrier-grade 5G networks. A follow-me drone service was implemented as a representative testbed of remote video analytics. In this application, an image of a person from a drone camera is processed at the edge, and image tracking displacements are translated into positioning commands that are sent back to the drone, so that the…

DTEK: Russian attacks damage thermal power plants, cause outages in mines: https://benborges.xyz/2024/03/22/dtek-russian-attacks.html

Privacy-Preserving Instructions for Aligning Large Language Models
Da Yu, Peter Kairouz, Sewoong Oh, Zheng Xu
https://arxiv.org/abs/2402.13659 https://

Privacy-Preserving Instructions for Aligning Large Language Models
Service providers of large language model (LLM) applications collect user instructions in the wild and use them in further aligning LLMs with users' intentions. These instructions, which potentially contain sensitive information, are annotated by human workers in the process. This poses a new privacy risk not addressed by the typical private optimization. To this end, we propose using synthetic instructions to replace real instructions in data annotation and model fine-tuning. Formal differenti…

Intermodal competition in the Brazilian interstate travel market
Frederico A. Turolla, Moises D. Vassallo, Alessandro V. M. Oliveira
https://arxiv.org/abs/2402.07125

Intermodal competition in the Brazilian interstate travel market
This paper presents a test of intermodal interaction between coaches and airlines in Brazil in order to check for the efficacy of recent liberalization measures designed to promote competition in both industries. Interstate travel service in the country is heavily provided by coaches, and the system is fully operated by the private sector under public delegation through permits and authorizations. Agency-based regulation was introduced in 2002 along with a price cap regime aimed at enhancing th…

This https://arxiv.org/abs/2306.08538 has been replaced.
link: https://scholar.google.com/scholar?q=a

Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions
Machine Learning as a Service (MLaaS) is an increasingly popular design where a company with abundant computing resources trains a deep neural network and offers query access for tasks like image classification. The challenge with this design is that MLaaS requires the client to reveal their potentially sensitive queries to the company hosting the model. Multi-party computation (MPC) protects the client's data by allowing encrypted inferences. However, current approaches suffer from prohibitive…

Intermodal competition in the Brazilian interstate travel market
Frederico A. Turolla, Moises D. Vassallo, Alessandro V. M. Oliveira
https://arxiv.org/abs/2402.07125

Intermodal competition in the Brazilian interstate travel market
This paper presents a test of intermodal interaction between coaches and airlines in Brazil in order to check for the efficacy of recent liberalization measures designed to promote competition in both industries. Interstate travel service in the country is heavily provided by coaches, and the system is fully operated by the private sector under public delegation through permits and authorizations. Agency-based regulation was introduced in 2002 along with a price cap regime aimed at enhancing th…