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I had a very cool experince partecipating in #womenuniteoverctf and finally I started learning something more about reverse engineering 😊

A well known online bank in Italy, FinecoBank, is: a) limiting the max password length to 8 chars (a red flag as hashes have consistent length) b) suggesting you should google your password to ensure it's unique 🤦‍♀️🤦‍♂️Troy Hunt we need you 🆘 (Thanks Gianluca Varisco and Clodo / Fabrizio Carimati ᯅ)

Ho ho ho! We've been having some fun with CSS and JS to bring a more fancy website! Don't forget to sign up for the CTF! We start on December 1st, but you can play Challenge 0 in the meantime 🎅

Sgombriamo il campo da un equivoco: il voto elettronico non è una “sfida” e non è “il futuro”. Il voto elettronico è una sciocchezza, e chi la propone evidentemente non ne capisce i problemi. Ok? gammanews.it/tg-coin/nel-20…

Introducing MemLabs - Educational, CTF-styled labs for individuals interested in Memory Forensics, is now released. Link: github.com/stuxnet999/Mem… Author: Abhiram Kumar #ctf #dfir #memoryforensics #infosec #cybersecurity

University of Cincinnati made their malware reverse engineering classes public: class.malware.re Includes lecture notes, videos and all the good stuff!

#derpbart

Elegant, gentle, soft-spoken Linus comment about anti-vax: lkml.org/lkml/2021/6/10…

If you loved Jure Leskovec's talk about Relational DL and its applications to #recommendation, you will enjoy our tutorial on #GNNs & #RecSys **today** at #LoG2023 Learning on Graphs Conference 2025 😎 🕦 5pm-8pm GMT 🌍 Online (Zoom/YouTube) 👨‍💼 w/ myself, Claudio Pomo, Tommaso Di Noia 🧑‍💻 tinyurl.com/y2eeaz93

Happy that the **new** version of #Ducho (v2.0), our framework to extract #multimodal features in #recommendation, has been accepted at #TheWebConf2024 The Web Conference 🚀🚀 Amazing work led by Matteo Attimonelli Danilo Danese and supervised by me, Claudio Pomo, and Tommaso Di Noia! (1/n)

🚨 Are We Done with MMLU? In our new paper "Are We Done with MMLU?" we identify errors in MMLU and find that some subsets are riddled with errors. We propose MMLU-Redux with 3,000 re-annotated questions across 30 subjects. 📜 arxiv.org/abs/2406.04127 (1/n)

Our latest work "Enhancing Utility in Differentially Private Recommendation Data Release via Exponential MechanismPaper", has been accepted as a long paper at #ECIR2025! 🚀🚀 w/Antonio Ferrara Angela Di Fazio Tommaso Di Noia Eugenio Di Sciascio 🧵Check out the thread for details👀👇

I am so happy to share that our work "Are We Done with MMLU?" has been at the #NAACL2025 main conference! 🚀🚀 As already mentioned by Aryo Pradipta Gema 👇, it’s an honour to see our MMLU-Redux being adopted by cutting-edge frontier labs! Catch the amazing Aryo Pradipta Gema at NAACL HLT 2025!

The First International WS on #Data #Quality-Aware #Multimodal #Recommendation (#DaQuaMRec DaQuaMRec@RecSys2025) is happening at #RecSys2025 ACM RecSys! 🙆 Claudio Pomo Dietmar Jannach Yubin @Google Next25 Daniele Malitesta Alberto Carlo Maria Mancino Julian Mcauley Alessandro B. Melchiorre Shah Nawaz

The data preprocessing phase in recommender systems can be long and tedious. With 🧩DataRec, that’s no longer the case! “DataRec: A Python Library for Standardized and Reproducible Data Management in Recommender Systems” has been accepted for publication at SIGIR 2025. 🚀🚀

Bad news from #RecSys2025 ACM RecSys? 🥲 You still have time to submit your work to #DaQuaMRec 🚀 (**July 10, 2025**) Many topics in #multimodal #recommendation, such as #bias, #fairness, #missing #noisy data, modalities #misalignment, evaluation of data #quality, and more 🥰

🚨 [Deadline Extension] CfP - #DaQuaMRec2025 #RecSys2025 ACM RecSys 🚨 📢 New Submission Deadline: July 17, 2025 (EXTENDED & FIRM) 🗓️ We've decided to extend the submission deadline by 1 week! 👉 Submit via EasyChair (easychair.org/my/conference?…)

Presenting DataRec at #SIGIR2025 has been a real pleasure! Thanks to everyone who visited our poster, great chats and new connections! 🙌 Next up: D&D4Rec tutorial at #RecSys2025, where we’ll bring multimodal features to DataRec with Ducho! 🎓 Tutorial: sites.google.com/view/dd4rec-tu…