Tootfinder

"Morning Midas": Frachter mit hunderten Elektroautos brennt im Nordpazifik
Hunderte Kilometer südlich von Alaska ist ein Autofrachter in Brand geraten, an Bord hat er auch hunderte Elektroautos. Die Crew wurde komplett evakuiert.

Newsweek acquires adtech firm Adprime, a demand-side platform focused on healthcare marketers, to strengthen its health vertical and grow B2B revenue (Mark Stenberg/Adweek)
https://www.adweek.com/media/newsweek-adtech-firm-adprime-health-expansion/

Newsweek Snaps Up Adtech Firm Adprime to Fuel Health Expansion
The tie-up is part of a broader bid from the publisher to diversify its advertising

If you think AI is more about human flourishing than advertising, just look at Zuckerberg's latest earnings call: "AI will make advertising a meaningfully larger share of global GDP than it is today"
https://finance.yahoo.com/news/the-ai-

Improved Byzantine Agreement under an Adaptive Adversary
Fabien Dufoulon, Gopal Pandurangan
https://arxiv.org/abs/2506.04919 https://…

Improved Byzantine Agreement under an Adaptive Adversary
Byzantine agreement is a fundamental problem in fault-tolerant distributed computing that has been studied intensively for the last four decades. Much of the research has focused on a static Byzantine adversary, where the adversary is constrained to choose the Byzantine nodes in advance of the protocol's execution. This work focuses on the harder case of an adaptive Byzantine adversary that can choose the Byzantine nodes \emph{adaptively} based on the protocol's execution. While efficient $O(\l…

This https://arxiv.org/abs/2404.16873 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs
Large Language Models (LLMs) are vulnerable to jailbreaking attacks that lead to generation of inappropriate or harmful content. Manual red-teaming requires a time-consuming search for adversarial prompts, whereas automatic adversarial prompt generation often leads to semantically meaningless attacks that do not scale well. In this paper, we present a novel method that uses another LLM, called AdvPrompter, to generate human-readable adversarial prompts in seconds. AdvPrompter, which is trained …

Sources: the FTC is investigating whether roughly a dozen advertising and advocacy groups violated antitrust law by coordinating boycotts among advertisers (New York Times)
https://www.nytimes.com/2025/06/…

F.T.C. Investigates Ad Groups and Watchdogs, Alleging Boycott Collusion
The regulator is looking into whether roughly a dozen groups violated antitrust law by coordinating boycotts among advertisers.

Puja Vohra, former EVP of marketing for Paramount , is joining Fox Corporation in the newly created role of chief marketing officer and EVP of ad sales (Brian Steinberg/Variety)
https://variety.com/2025/tv/news/puja-vohra-foix-cmo-advertising-sal…

Fox Taps Paramount Marketing Veteran Puja Vohra As CMO, Ad Sales
Fox Corp. named Puja Vohra, formerly a senior marketing executive at Paramount Global, as CMO of ad sales

This https://arxiv.org/abs/2505.17226 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Secure and Private Federated Learning: Achieving Adversarial Resilience through Robust Aggregation
Federated Learning (FL) enables collaborative machine learning across decentralized data sources without sharing raw data. It offers a promising approach to privacy-preserving AI. However, FL remains vulnerable to adversarial threats from malicious participants, referred to as Byzantine clients, who can send misleading updates to corrupt the global model. Traditional aggregation methods, such as simple averaging, are not robust to such attacks. More resilient approaches, like the Krum algorithm…

Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack
Jing Xue, Zhishen Sun, Haishan Ye, Luo Luo, Xiangyu Chang, Ivor Tsang, Guang Dai
https://arxiv.org/abs/2506.02711

Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack
Membership inference attack (MIA) has become one of the most widely used and effective methods for evaluating the privacy risks of machine learning models. These attacks aim to determine whether a specific sample is part of the model's training set by analyzing the model's output. While traditional membership inference attacks focus on leveraging the model's posterior output, such as confidence on the target sample, we propose IMIA, a novel attack strategy that utilizes the process of generatin…

Sources: the FTC is investigating whether roughly a dozen advertising and advocacy groups violated antitrust law by coordinating boycotts among advertisers (New York Times)
https://www.nytimes.com/2025/06/…

F.T.C. Investigates Ad Groups and Watchdogs, Alleging Boycott Collusion
The regulator is looking into whether roughly a dozen groups violated antitrust law by coordinating boycotts among advertisers.