Note to web designers: if you set a size for body text fonts, a substantial part of your audience won't be able to read your page at all, so you've lost them; and more tech-savvy users will either zoom the page, breaking your clever design, or remove your styling altogether (which is what I tend to do).
The user knows what size of font the user can read. The user has their preferences set up so they can read their screen. Trust the user.
And if that breaks your design, yo…
Adaptive Migration Decision for Multi-Tenant Memory Systems
Hyungjun Cho, Igjae Kim, Kwanghoon Choi, Hongjin Kim, Wonjae Lee, Junhyeok Im, Jinin So, Jaehyuk Huh
https://arxiv.org/abs/2505.09164
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My Saturday morning: remove 18 words - 16 of them adjectives - from the last 1 page I wrote. Done. What was I thinking!
[2025-05-14 Wed (UTC), 1 new article found for q-fin.PR Pricing of Securities]
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これ読むといいんじゃないかな。うえのさんの。
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二つのクリスマス. ——何かを「待ちのぞむ」ということ | by ueno | Medium
https://oryzivora.page/二つのクリスマス-750d0b08d274?gi=705df5f6d027
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MARS: Processing-In-Memory Acceleration of Raw Signal Genome Analysis Inside the Storage Subsystem
Melina Soysal, Konstantina Koliogeorgi, Can Firtina, Nika Mansouri Ghiasi, Rakesh Nadig, Haiyu Mayo, Geraldo F. Oliveira, Yu Liang, Klea Zambaku, Mohammad Sadrosadati, Onur Mutlu
https://arxiv.org/abs/2506.10931
A Unified Framework for Probabilistic Dynamic-, Trajectory- and Vision-based Virtual Fixtures
Maximilian M\"uhlbauer, Freek Stulp, Sylvain Calinon, Alin Albu-Sch\"affer, Jo\~ao Silv\'erio
https://arxiv.org/abs/2506.10239
[2025-05-15 Thu (UTC), 2 new articles found for q-bio.GN Genomics]
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TrioXpert: An automated incident management framework for microservice system
Yongqian Sun, Yu Luo, Xidao Wen, Yuan Yuan, Xiaohui Nie, Shenglin Zhang, Tong Liu, Xi Luo
https://arxiv.org/abs/2506.10043
[2025-05-14 Wed (UTC), no new articles found for q-fin.TR Trading and Market Microstructure]
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[2025-05-15 Thu (UTC), 1 new article found for cs.OS Operating Systems]
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Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version)
Yun Chen Tsai, Kittiphon Phalakarn, S. Akshay, Ichiro Hasuo
https://arxiv.org/abs/2506.10377
Towards Zero-Stall Matrix Multiplication on Energy-Efficient RISC-V Clusters for Machine Learning Acceleration
Luca Colagrande, Lorenzo Leone, Maximilian Coco, Andrei Deaconeasa, Luca Benini
https://arxiv.org/abs/2506.10921
[2025-05-15 Thu (UTC), no new articles found for nlin.CG Cellular Automata and Lattice Gases]
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Opportunities and Applications of GenAI in Smart Cities: A User-Centric Survey
Ankit Shetgaonkar, Dipen Pradhan, Lakshit Arora, Sanjay Surendranath Girija, Shashank Kapoor, Aman Raj
https://arxiv.org/abs/2505.08034
[2025-06-13 Fri (UTC), 2 new articles found for cs.FL Formal Languages and Automata Theory]
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EasyDRAM: An FPGA-based Infrastructure for Fast and Accurate End-to-End Evaluation of Emerging DRAM Techniques
O\u{g}uzhan Canpolat, Ataberk Olgun, David Novo, O\u{g}uz Ergin, Onur Mutlu
https://arxiv.org/abs/2506.10441
GOLIATH: A Decentralized Framework for Data Collection in Intelligent Transportation Systems
Davide Maffiola, Stefano Longari, Michele Carminati, Mara Tanelli, Stefano Zanero
https://arxiv.org/abs/2506.10665
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[2025-06-13 Fri (UTC), 3 new articles found for cs.DS Data Structures and Algorithms]
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CarbonSet: A Dataset to Analyze Trends and Benchmark the Sustainability of CPUs and GPUs
Jiajun Hu, Chetan Choppali Sudarshan, Vidya A. Chhabria, Aman Arora
https://arxiv.org/abs/2506.10373
Estimating the Joint Probability of Scenario Parameters with Gaussian Mixture Copula Models
Christian Reichenb\"acher, Philipp Rank, Jochen Hipp, Oliver Bringmann
https://arxiv.org/abs/2506.10098
[2025-06-13 Fri (UTC), 4 new articles found for cs.LO Logic in Computer Science]
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[2025-06-13 Fri (UTC), 4 new articles found for cs.PL Programming Languages]
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CyFence: Securing Cyber-Physical Controllers via Trusted Execution Environment
Stefano Longari, Alessandro Pozone, Jessica Leoni, Mario Polino, Michele Carminati, Mara Tanelli, Stefano Zanero
https://arxiv.org/abs/2506.10638
[2025-06-13 Fri (UTC), 25 new articles found for cs.RO Robotics]
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Assessing the Resilience of Automotive Intrusion Detection Systems to Adversarial Manipulation
Stefano Longari, Paolo Cerracchio, Michele Carminati, Stefano Zanero
https://arxiv.org/abs/2506.10620
A Crack in the Bark: Leveraging Public Knowledge to Remove Tree-Ring Watermarks
Junhua Lin (University of Edinburgh), Marc Juarez (University of Edinburgh)
https://arxiv.org/abs/2506.10502
SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks
Kaiyuan Zhang, Siyuan Cheng, Hanxi Guo, Yuetian Chen, Zian Su, Shengwei An, Yuntao Du, Charles Fleming, Ashish Kundu, Xiangyu Zhang, Ninghui Li
https://arxiv.org/abs/2506.10424
FicGCN: Unveiling the Homomorphic Encryption Efficiency from Irregular Graph Convolutional Networks
Zhaoxuan Kan, Husheng Han, Shangyi Shi, Tenghui Hua, Hang Lu, Xiaowei Li, Jianan Mu, Xing Hu
https://arxiv.org/abs/2506.10399
A Comprehensive Survey of Unmanned Aerial Systems' Risks and Mitigation Strategies
Sharad Shrestha, Mohammed Ababneh, Satyajayant Misra, Henry M. Cathey, Jr., Roopa Vishwanathan, Matt Jansen, Jinhong Choi, Rakesh Bobba, Yeongjin Jang
https://arxiv.org/abs/2506.10327
Unconditionally Secure Wireless-Wired Ground-Satellite-Ground Communication Networks Utilizing Classical and Quantum Noise
Lucas Truax, Sandip Roy, Laszlo B. Kish
https://arxiv.org/abs/2506.10147
D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning
Muqi Zou (Jing), Hongyu Cai (Jing), Hongwei Wu (Jing), Zion Leonahenahe Basque (Jing), Arslan Khan (Jing), Berkay Celik (Jing), Dave (Jing), Tian (Fish), Antonio Bianchi (Fish), Ruoyu (Fish), Wang, Dongyan Xu
https://arxiv.org/abs/2506.10125…
Expert-in-the-Loop Systems with Cross-Domain and In-Domain Few-Shot Learning for Software Vulnerability Detection
David Farr, Kevin Talty, Alexandra Farr, John Stockdale, Iain Cruickshank, Jevin West
https://arxiv.org/abs/2506.10104
GenBreak: Red Teaming Text-to-Image Generators Using Large Language Models
Zilong Wang, Xiang Zheng, Xiaosen Wang, Bo Wang, Xingjun Ma, Yu-Gang Jiang
https://arxiv.org/abs/2506.10047
Evaluation empirique de la s\'ecurisation et de l'alignement de ChatGPT et Gemini: analyse comparative des vuln\'erabilit\'es par exp\'erimentations de jailbreaks
Rafa\"el Nouailles (GdR)
https://arxiv.org/abs/2506.10029

Evaluation empirique de la sécurisation et de l'alignement de ChatGPT et Gemini: analyse comparative des vulnérabilités par expérimentations de jailbreaks
Large Language models (LLMs) are transforming digital usage, particularly in text generation, image creation, information retrieval and code development. ChatGPT, launched by OpenAI in November 2022, quickly became a reference, prompting the emergence of competitors such as Google's Gemini. However, these technological advances raise new cybersecurity challenges, including prompt injection attacks, the circumvention of regulatory measures (jailbreaking), the spread of misinformation (hallucinat…
Mind the Gap: Revealing Security Barriers through Situational Awareness of Small and Medium Business Key Decision-Makers
Yuanhaur Chang, Oren Heller, Yaniv Shlomo, Iddo Bar-Noy, Ella Bokobza, Michal Grinstein-Weiss, Ning Zhang
https://arxiv.org/abs/2506.10025
Private Memorization Editing: Turning Memorization into a Defense to Strengthen Data Privacy in Large Language Models
Elena Sofia Ruzzetti, Giancarlo A. Xompero, Davide Venditti, Fabio Massimo Zanzotto
https://arxiv.org/abs/2506.10024

Private Memorization Editing: Turning Memorization into a Defense to Strengthen Data Privacy in Large Language Models
Large Language Models (LLMs) memorize, and thus, among huge amounts of uncontrolled data, may memorize Personally Identifiable Information (PII), which should not be stored and, consequently, not leaked. In this paper, we introduce Private Memorization Editing (PME), an approach for preventing private data leakage that turns an apparent limitation, that is, the LLMs' memorization ability, into a powerful privacy defense strategy. While attacks against LLMs have been performed exploiting previou…