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My talk at the BGU colloquium about Bitcoin's Lightning network. What it is + our research on some attacks (Routing, HTLC congestion, Flood & Loot). youtu.be/76FcG-Iunbc Joint work w/ Jona Harris Ayelet Lotem (Mizrahi) Saar Tochner @schmiste78 Thanks to Or Sattath for hosting!

This is a great paper! I have always been interested in researching this more. Bitcoin tracks "wall clock time" with a rough consensus of miners, but consensus itself relies on time (difficulty adjustments). Is this circular dependence problematic? dl.acm.org/doi/pdf/10.114…

Introducing Twilight: A Private Payment Channel Network medium.com/@maya.dotan1/i… My new paper with Saar Tochner Aviv Zohar and Yossi Gilad. #Bitcoin #LightningNetwork #Etherum #privacy #blockchain #blockchaintechnology

Do miners execute consensus-level attack against Ethereum (or other major tokens)❓🤔 The answer is *yes*❗🤯 Read on for full deets 👇 Joint work with Gilad Stern and Aviv Zohar. Full paper: dx.doi.org/10.13140/RG.2.… Medium post: medium.com/@aviv.yaish/un… ... (1/12)

Ran Ribenzaft פידטק וידויים אנונימיים ללא צנזורה Epsagon היה מוצר מצוין והפסד לקהילת הסרברלס שהוא נסגר. למי שמחפש לאן לעבור פתחנו ב Lumigo תוכנית מעבר שתקל גם על המעבר הטכני (פחות מיום עבודה) וגם הגנה פיננסית refund on existing contract 100% ) מוזמנים להצטרף לרבים שכבר עשו את המעבר בשנה האחרונה info.lumigo.io/epsagon-altern…

The first video (in Hebrew) is Saar Tochner Saar Tochner's PhD talk, "Aspects of Cryptocurrencies: From Blockchains to Private Payment Channels". He really did an amazing job. youtube.com/watch?v=0SDVma…

My PhD talk is finally up! If you're interested in distributed systems and cryptocurrencies, this talk is a great tutorial for you to understand the current research state-of-the-art 🥳

I'll give a talk at re:invent on AWS Lambda Extensions. Be sure to not miss that, it will be AWSome!

I'm so fortunate to give a talk at one of the biggest tech conferences in the world, AWS re:invent! Come and say hi, and hopefully, you'll even learn something new on AWS Lambda Extensions #AWS #reInvent Lumigo

Two hours left! Don't forget to join me at the Dev Chat Theatre at Venetian Expo for my talk: Zero-friction AWS Lambda instrumentation: A guide to extensions (Alias: COM308) It's going to be SERVERLESS ⚡️ #reinvent #reinvent2022 #Lumigo

Check out my talk at a16z crypto about Twilight, our latest paper in USENIX Security Aviv Zohar @MayaD09111862 Yossi Gilad

#פידטק הגיע הזמן לספר איכותי בעברית העוסק ב-Serverless בשנה האחרונה הרמתי את הכפפה וכתבתי ספר טכני העוסק בתחום. הספר מוכוון תרגול, הכולל כתיבת אפליקציה מא' ועד ת', בנוסף לכך תלמדו על פרקטיקות שונות לפיתוח בענן. הצטרפו אלי ונוציא יחד את הספר דרך הדסטרט headstart.co.il/project/70568

The optimal known packing of 17 equal squares into a larger square - i.e. the arrangement which minimises the size of the large square.

Block proposers speculatively execute transactions when creating blocks to maximize their profits. How can this go wrong? In "Speculative Denial-of-Service Attacks in Ethereum", we show that speculative execution allows attackers to cheaply DoS the network. Read the thread! 1/15

Thrilled to share that I'll be speaking in the upcoming #BlueHatIL conference next month! "Can LLMs find 0day? Adventures in cybersecurity evals" will be about some of the work we've been doing at Pattern Labs, researching dangerous cybersecurity capabilities in LLMs.

We have just published a preview of the SOLVE scoring system for assessing the difficulty of vulnerability discovery & exploit development challenges. SOLVE is already being used to track the progress of frontier models, like Anthropic's Claude 3.7 Sonnet, in cyber tasks 🧵

New blog post: "Deriving capability levels from evaluation results": To properly understand AI risks, we need a systematic way to assess a model's actual capability level—measuring what systems can do, not what benchmarks claim they can. patternlabs.co/blog/deriving-… 1/3 🧵

New research with Anthropic: Confidential Inference Systems. Confidential computing enhances AI data privacy and model weight security with hardware-based isolation and protection. Our whitepaper explores the design principles and security risks for confidential AI systems.