Snowflake’s customer breaches make 2024 the year of the identity siege

Snowflake’s customer breaches make 2024 the year of the identity siege

VB Transform 2024 returns this July! Over 400 enterprise leaders will gather in San Francisco from July 9-11 to dive into the advancement of GenAI strategies and engaging in thought-provoking discussions within the community. Find out how you can attend here. Identities are best-sellers on the dark web, proving to be the fuel that drives billions of dollars of fraud every year. Breaches on Santander, TicketMaster, Snowflake, and most recently, Advanced Auto Parts, LendingTree, and its subsidiary QuoteWizard show how quickly attackers refine their tradecraft to prey on organizations’ security weaknesses. TechCrunch has verified that hundreds of Snowflake customer passwords…
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A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models

A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Source link lol
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PHP

PHP

06 Jun 2024 PHP 8.3.8 Released! The PHP development team announces the immediate availability of PHP 8.3.8. This is a security release. All PHP 8.3 users are encouraged to upgrade to this version. For source downloads of PHP 8.3.8 please visit our downloads page, Windows source and binaries can be found on windows.php.net/download/. The list of changes is recorded in the ChangeLog. Source link lol
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Degrees of Freedom Matter: Inferring Dynamics from Point Trajectories

Degrees of Freedom Matter: Inferring Dynamics from Point Trajectories

arXiv:2406.03625v1 Announce Type: new Abstract: Understanding the dynamics of generic 3D scenes is fundamentally challenging in computer vision, essential in enhancing applications related to scene reconstruction, motion tracking, and avatar creation. In this work, we address the task as the problem of inferring dense, long-range motion of 3D points. By observing a set of point trajectories, we aim to learn an implicit motion field parameterized by a neural network to predict the movement of novel points within the same domain, without relying on any data-driven or scene-specific priors. To achieve this, our approach builds upon the recently introduced dynamic point…
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Roaring Kitty Is Playing With Fire

Roaring Kitty Is Playing With Fire

Gill did not face charges then, but this time could be different. The securities regulator for the state of Massachusetts has confirmed it is looking into Gill’s recent conduct, without providing specifics. It would appear that Gill is aware of the risk of provoking an SEC investigation. On May 16 he posted a clip of a CNBC interview in which Jay Clayton, former SEC chair, expressed the view that his conduct should not be tolerated. The SEC declined to comment on the existence of an investigation.At the start of Gill’s YouTube livestream, a long disclaimer scrolled up the screen like…
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Linguistically Conditioned Semantic Textual Similarity

Linguistically Conditioned Semantic Textual Similarity

arXiv:2406.03673v1 Announce Type: new Abstract: Semantic textual similarity (STS) is a fundamental NLP task that measures the semantic similarity between a pair of sentences. In order to reduce the inherent ambiguity posed from the sentences, a recent work called Conditional STS (C-STS) has been proposed to measure the sentences' similarity conditioned on a certain aspect. Despite the popularity of C-STS, we find that the current C-STS dataset suffers from various issues that could impede proper evaluation on this task. In this paper, we reannotate the C-STS validation set and observe an annotator discrepancy on 55% of the instances resulting from…
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AlphaFold transforms biology for millions around the world

AlphaFold transforms biology for millions around the world

Open sourcing over 200 million protein structures to help researchers solve countless problemsBig data in biology leads to discoveries that can benefit humankind. That’s the core belief at EMBL’s European Bioinformatics Institute (EMBL-EBI), and what its scientists have proven to be true ever since its founding at the Wellcome Genome Campus in Hinxton, UK, in 1994.Part of the European Molecular Biology Laboratory, the institute is an intergovernmental research organization funded by over 20 member states. Its data span genomics, proteins, small molecules, data models and much more. As a champion of open data in the life sciences, EMBL-EBI was a…
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Sports Illustrated’s ex-publisher wants $200 million from Authentic Brands Group, saying it stole website and employees

Sports Illustrated’s ex-publisher wants $200 million from Authentic Brands Group, saying it stole website and employees

The former publisher of Sports Illustrated has filed a $200 million legal counterpunch against the magazine's new publisher and the owner of its intellectual property.In late 2023, the Arena Group lost the rights to publish SI, its best-known brand, after 5-Hour Energy creator Manoj Bhargava took over Arena and missed a licensing payment to Authentic Brands Group. ABG awarded the publishing license to Minute Media and sued Bhargava for $49 million, accusing him of acting like a "gangster" in their negotiations.On Friday, Bhargava and his company hit back — and they're seeking $200 million for what they claim was a…
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Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning

Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning

[Submitted on 5 Jun 2024] View a PDF of the paper titled Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning, by Saber Malekmohammadi and 2 other authors View PDF HTML (experimental) Abstract:High utility and rigorous data privacy are of the main goals of a federated learning (FL) system, which learns a model from the data distributed among some clients. The latter has been tried to achieve by using differential privacy in FL (DPFL). There is often heterogeneity in clients privacy requirements, and existing DPFL works either assume uniform privacy requirements for clients or are not applicable when server is not…
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