Robuta

https://www.newsfilecorp.com/release/291749/Lithosphere-Integrates-DNNS-as-Programmable-Identity-Layer-in-Makalu-Environment Lithosphere Integrates DNNS as Programmable Identity Layer in Makalu Environment Singapore, Singapore--(Newsfile Corp. - April 9, 2026) - Lithosphere has integrated DNNS (Decentralized Naming System) into its Makalu Testnet, introducing... lithosphereintegratesdnnsprogrammableidentity https://openreview.net/forum?id=0Q9H_Pgx132&referrer=%5Bthe%20profile%20of%20Kaiqi%20Zhang%5D(%2Fprofile%3Fid%3D~Kaiqi_Zhang2) Deep Learning meets Nonparametric Regression: Are Weight-Decayed DNNs Locally Adaptive? | OpenReview Parallel NN with only weight decay achieves an estimation error close to the minimax rates for both the Besov and BV classes. deep learningnonparametric regression https://arxiv.org/abs/2303.16589 [2303.16589] Poster: Link between Bias, Node Sensitivity and Long-Tail Distribution in trained DNNs Abstract page for arXiv paper 2303.16589: Poster: Link between Bias, Node Sensitivity and Long-Tail Distribution in trained DNNs https://dnns.no/ dnns.no This site contains articles of various quality, and is sort of a private-but-public documentation of various things. Maybe there'll be some "normal" blog-posts... dnns https://openreview.net/forum?id=8gyF7P-kEud Visualizing the Emergence of Intermediate Visual Patterns in DNNs | OpenReview This paper visualizes the discrimination power of intermediate visual patterns encoded by a DNN, and further quantifies knowledge points to evaluate the... visualizingemergenceintermediatepatternsdnns https://openreview.net/forum?id=iRCUlgmdfHJ DISCOVERING AND EXPLAINING THE REPRESENTATION BOTTLENECK OF DNNS | OpenReview This paper explores the bottleneck of feature representations of deep neural networks (DNNs), from the perspective of the complexity of interactions between... discoveringexplainingrepresentationbottleneckdnns https://openreview.net/forum?id=qFwcPpFp6x&referrer=%5Bthe%20profile%20of%20Yuhui%20Shi%5D(%2Fprofile%3Fid%3D~Yuhui_Shi2) An Evolutionary Attack for Revealing Training Data of DNNs With Higher Feature Fidelity | OpenReview Model inversion attacks aim to reveal information about sensitive training data of AI models, which may lead to serious privacy leakage. However, existing... https://oneflipbackdoor.github.io/ Rowhammer-Based Trojan Injection: One Bit Flip Is Sufficient for Backdooring DNNs ONEFLIP demonstrates the first single bit-flip backdoor attack on full-precision deep neural networks using Rowhammer memory exploits during inference. one bit https://www.newsfilecorp.com/release/290630/Lithosphere-Introduces-DNNS-The-Decentralized-Naming-System-Powering-Web4-Infrastructure Lithosphere Introduces DNNS: The Decentralized Naming System Powering Web4 Infrastructure Seattle, Washington--(Newsfile Corp. - March 31, 2026) - Lithosphere has introduced DNNS, a decentralized naming system designed to redefine how... lithosphereintroducesdnnsdecentralizednaming https://xn--ls-lka.no/ dnns.no This site contains articles of various quality, and is sort of a private-but-public documentation of various things. Maybe there'll be some "normal" blog-posts... dnns https://openreview.net/forum?id=MWZWUyfFHC TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge | OpenReview On-device training is essential for user personalisation and privacy. With the pervasiveness of IoT devices and microcontroller units (MCUs), this task becomes... https://openreview.net/forum?id=OCqyFVFNeF Defining and extracting generalizable interaction primitives from DNNs | OpenReview Faithfully summarizing the knowledge encoded by a deep neural network (DNN) into a few symbolic primitive patterns without losing much information represents a... definingextractinginteractionprimitivesdnns https://www.newsfilecorp.com/release/290630 Lithosphere Introduces DNNS: The Decentralized Naming System Powering Web4 Infrastructure Seattle, Washington--(Newsfile Corp. - March 31, 2026) - Lithosphere has introduced DNNS, a decentralized naming system designed to redefine how... lithosphereintroducesdnnsdecentralizednaming https://openreview.net/forum?id=OQQ1p0pFP4 Workshop Submission: Using Multimodal DNNs to Study Vision-Language Integration in the Brain |... We use multimodal and unimodal deep neural networks to localize sites in the brain associated with multimodal processing of vision and language. https://www.westernsydney.edu.au/icns/research-projects/open-phd-projects/a-neuromorphic-framework-for-event-based-dnns-using-minifloats A Neuromorphic Framework for Event-Based DNNs using Minifloats Researching a novel neuromorphic framework that performs proven deep learning algorithms (to solve real world problems) using event-based signal processing.... event basedneuromorphicframeworkdnnsusing https://openreview.net/forum?id=tqOvYpjPax2 Intraclass clustering: an implicit learning ability that regularizes DNNs | OpenReview Several works have shown that the regularization mechanisms underlying deep neural networks' generalization performances are still poorly understood. In this... implicit learningclusteringabilitydnnsopenreview https://deepai.org/publication/a-jigsaw-puzzle-solver-based-attack-on-block-wise-image-encryption-for-privacy-preserving-dnns A Jigsaw Puzzle Solver-based Attack on Block-wise Image Encryption for Privacy-preserving DNNs |... Nov 4, 2022 - 11/04/22 - Privacy-preserving deep neural networks (DNNs) have been proposed for protecting data privacy in the cloud server. Although severa... https://openreview.net/forum?id=fWYKVtf7lu ICE-Pick: Iterative Cost-Efficient Pruning for DNNs | OpenReview Pruning is one of the main compression methods for Deep Neural Networks (DNNs), where less relevant parameters are removed from a DNN model to reduce its... ice pickcost efficientiterativepruningdnns