Tootfinder

Europol: Datendiebstahl ist Big Business und eine erhebliche Bedrohung
KI und andere Spitzentechnologien beschleunigen die Schattenseiten der digitalen Revolution, moniert Europol. Cyberkriminelle steigerten damit ihre Effizienz.

BotTrans: A Multi-Source Graph Domain Adaptation Approach for Social Bot Detection
Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng
https://arxiv.org/abs/2506.13795

BotTrans: A Multi-Source Graph Domain Adaptation Approach for Social Bot Detection
Transferring extensive knowledge from relevant social networks has emerged as a promising solution to overcome label scarcity in detecting social bots and other anomalies with GNN-based models. However, effective transfer faces two critical challenges. Firstly, the network heterophily problem, which is caused by bots hiding malicious behaviors via indiscriminately interacting with human users, hinders the model's ability to learn sufficient and accurate bot-related knowledge from source domains…

Something that’s been bothering me for years in the security world: why do researchers demand bug bounties for vulnerabilities in open source projects, when the very contributors maintaining and fixing those issues get nothing, just goodwill?
It feels deeply unfair. The burden falls on unpaid maintainers, yet bounty hunters get rewarded. If you want a paid bounty, maybe help fund the people who actually fix the mess too.

Foundation Artificial Intelligence Models for Health Recognition Using Face Photographs (FAHR-Face)
Fridolin Haugg, Grace Lee, John He, Leonard N\"urnberg, Dennis Bontempi, Danielle S. Bitterman, Paul Catalano, Vasco Prudente, Dmitrii Glubokov, Andrew Warrington, Suraj Pai, Dirk De Ruysscher, Christian Guthier, Benjamin H. Kann, Vadim N. Gladyshev, Hugo JWL Aerts, Raymond H. Mak

Foundation Artificial Intelligence Models for Health Recognition Using Face Photographs (FAHR-Face)
Background: Facial appearance offers a noninvasive window into health. We built FAHR-Face, a foundation model trained on >40 million facial images and fine-tuned it for two distinct tasks: biological age estimation (FAHR-FaceAge) and survival risk prediction (FAHR-FaceSurvival). Methods: FAHR-FaceAge underwent a two-stage, age-balanced fine-tuning on 749,935 public images; FAHR-FaceSurvival was fine-tuned on 34,389 photos of cancer patients. Model robustness (cosmetic surgery, makeup, pose, l…

Call for Papers: ‘Uniquely Canadian Cultural Narratives’
https://ift.tt/BwDRnhk
updated: Tuesday, June 17, 2025 - 9:35amfull name / name of organization: Short Fiction in Theory &…
via Input 4 RELCFP

Wir bedauern den Fehler und überprüfen unsere internen Abläufe.

Today, on the train it was /
between Warlingham and Woldingham /
that on my bread I folded ham /
and cheese to make /
a tasty boterham.

Bathroom? Yeah, it's right up the stairs. You can't miss it!

Call for Papers: ‘Uniquely Canadian Cultural Narratives’
https://ift.tt/BwDRnhk
updated: Tuesday, June 17, 2025 - 9:35amfull name / name of organization: Short Fiction in Theory &…
via Input 4 RELCFP

Call for Papers: ‘Uniquely Canadian Cultural Narratives’
https://ift.tt/BwDRnhk
updated: Tuesday, June 17, 2025 - 9:35amfull name / name of organization: Short Fiction in Theory &…
via Input 4 RELCFP