Tootfinder

Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks
Yichang Xu, Ming Yin, Minghong Fang, Neil Zhenqiang Gong
https://arxiv.org/abs/2403.03149

Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks
Recent studies have revealed that federated learning (FL), once considered secure due to clients not sharing their private data with the server, is vulnerable to attacks such as client-side training data distribution inference, where a malicious client can recreate the victim's data. While various countermeasures exist, they are not practical, often assuming server access to some training data or knowledge of label distribution before the attack. In this work, we bridge the gap by proposing I…

Understanding Iterative Combinatorial Auction Designs via Multi-Agent Reinforcement Learning
Greg d'Eon, Neil Newman, Kevin Leyton-Brown
https://arxiv.org/abs/2402.19420

Understanding Iterative Combinatorial Auction Designs via Multi-Agent Reinforcement Learning
Iterative combinatorial auctions are widely used in high stakes settings such as spectrum auctions. Such auctions can be hard to understand analytically, making it difficult for bidders to determine how to behave and for designers to optimize auction rules to ensure desirable outcomes such as high revenue or welfare. In this paper, we investigate whether multi-agent reinforcement learning (MARL) algorithms can be used to understand iterative combinatorial auctions, given that these algorithms h…

#NowPlaying - #NeilYoung will always be known as the first-take/best-take/preferably-under-a-full-moon guy, but the ongoing avalanche of mid-'70s lost albums & box sets & loosie outtakes on his streaming service all point to him actually being a totally ruthless self editor. anyway, &quot…

@… https://onlycastlesburning.substack.com/

Only Castles Burning | Keith Pishnery | Substack
Writing about the works of Neil Young in some kind of order. Click to read Only Castles Burning, by Keith Pishnery, a Substack publication. Launched 2 years ago.

Determination of the dynamic Young's modulus of quantum materials in piezoactuator-driven uniaxial pressure cells using a low-frequency a.c. method
Caitlin I. O'Neil, Zhenhai Hu, Naoki Kikugawa, Dmitry A. Sokolov, Andrew P. Mackenzie, Hilary M. L. Noad, Elena Gati
https://arxiv.org/abs/2403.17519

Determination of the dynamic Young's modulus of quantum materials in piezoactuator-driven uniaxial pressure cells using a low-frequency a.c. method
We report on a new technique for measuring the dynamic Young's modulus, $E$, of quantum materials at low temperatures as a function of static tuning strain, $ε$, in piezoactuator-driven pressure cells. In addition to a static tuning of stress and strain, we apply a small-amplitude, finite-frequency a.c. (1 Hz$ \lesssim ω\lesssim $1000 Hz) uniaxial stress, $σ_{ac}$, to the sample and measure the resulting a.c. strain, $ε_{ac}$, using a capacitive sensor to obtain the associated modulus $E$. …

Swift monitoring of GK Persei during the 2018 dwarf nova outburst
Songpeng Pei, Marina Orio, Xiaowan Zhang
https://arxiv.org/abs/2403.05328 https://…

Swift monitoring of GK Persei during the 2018 dwarf nova outburst
The old nova and intermediate polar (IP) GK Persei underwent one of its recurrent dwarf nova (DN) outbursts in 2018. We proposed monitoring it in UV and X-rays with the Neil Gehrels Swift Observatory, starting less than six days after the eruption, until 16 days after the eruption ended. For the first time we could follow the decay to minimum light UV and X-rays. We present the timing and spectral analysis, comparing the results with the previous outbursts and with the quiescent status. We conf…

🔊 #NowPlaying on #BBC6Music's #6MusicsJukebox
Neil Young:
🎵 Southern Man
#NeilYoung
https://open.spotify.com/track/4Lz33Oi0UQ6SECXsT80Tx2
https://anonymouschoir.bandcamp.com/track/southern-man

MAD Speech: Measures of Acoustic Diversity of Speech
Matthieu Futeral, Andrea Agostinelli, Marco Tagliasacchi, Neil Zeghidour, Eugene Kharitonov
https://arxiv.org/abs/2404.10419 <…

MAD Speech: Measures of Acoustic Diversity of Speech
Generative spoken language models produce speech in a wide range of voices, prosody, and recording conditions, seemingly approaching the diversity of natural speech. However, the extent to which generated speech is acoustically diverse remains unclear due to a lack of appropriate metrics. We address this gap by developing lightweight metrics of acoustic diversity, which we collectively refer to as MAD Speech. We focus on measuring five facets of acoustic diversity: voice, gender, emotion, accen…