Enhancing Cybersecurity with MEME: Reinforcement Learning for Adversarial Malware Evasion

:::info Authors: (1) Maria Rigaki, Faculty of Electrical Engineering, Czech Technical University in Prague, Czech Republic and maria.rigaki@fel.cvut.cz; (2) Sebastian Garcia, Faculty of Electrical Engineering, Czech Technical University in Prague, Czech Republic and sebastian.garcia@agents.fel.cvut.cz. ::: Table of Links Abstract & Introduction Threat Model Background and Related Work Methodology Experiments Setup Results Discussion Conclusion, Acknowledgments, and … Read more

DePIN Tackles the World’s Most Entrenched Industries

It’s no secret that our world has transformed rapidly over the past few decades. What hasn’t changed is the domination of industries by a select few entities. In fact, you could argue it’s getting worse by the year, with power clusters ultimately leading to stifled innovation and dampened competition in their respective markets. Decentralized physical … Read more

16 Guides to Get You Started with Apache Iceberg

Apache Iceberg is an innovative data lakehouse table format designed to revolutionize how you manage large-scale data across various storage layers, such as Hadoop and AWS S3. By treating these diverse storage solutions as a cohesive, universal database, Apache Iceberg facilitates seamless integration with numerous tools, platforms, and interfaces, enhancing both flexibility and accessibility. One … Read more

MEME vs. PPO: Analyzing Evasion Rates and Binary Modifications in Malware Detection

:::info Authors: (1) Maria Rigaki, Faculty of Electrical Engineering, Czech Technical University in Prague, Czech Republic and maria.rigaki@fel.cvut.cz; (2) Sebastian Garcia, Faculty of Electrical Engineering, Czech Technical University in Prague, Czech Republic and sebastian.garcia@agents.fel.cvut.cz. ::: Table of Links Abstract & Introduction Threat Model Background and Related Work Methodology Experiments Setup Results Discussion Conclusion, Acknowledgments, and … Read more

MEME Algorithm’s Impact on Adversarial Malware Generation and Model Evasion

:::info Authors: (1) Maria Rigaki, Faculty of Electrical Engineering, Czech Technical University in Prague, Czech Republic and maria.rigaki@fel.cvut.cz; (2) Sebastian Garcia, Faculty of Electrical Engineering, Czech Technical University in Prague, Czech Republic and sebastian.garcia@agents.fel.cvut.cz. ::: Table of Links Abstract & Introduction Threat Model Background and Related Work Methodology Experiments Setup Results Discussion Conclusion, Acknowledgments, and … Read more

On Dextaxation

In early May 2023 we met Anarchosatoshi and, shortly after, published his revelations. In them, Anarchosatoshi delved into the implications of Satoshi Nakamoto’s cryptic message embedded in Bitcoin’s genesis block. He reflected on the critique of fiat monetary systems and the transformative potential of Bitcoin. This exploration was set against the backdrop of human inertia … Read more

Introducing Our New JavaScript Standard Library

Welcome, I would like to introduce our new JavaScript Standard Library @opentf/std. Docs: https://js-std.pages.dev/ Why a Standard Library Matters Over the past few years, JavaScript has evolved at breakneck speed. The language has seen a proliferation of features, modules, and packages. The JavaScript projects with dependencies crisscrossing like a tangled web. The Quest for Simplicity … Read more

Transcendence Book 9: Far-skies

Act 1: Connection Have you ever wondered how a parent sees their child? How a mother holds her daughter like the most beautiful and tender miracle in the world? In such moments, you can’t but send a smile. A smile that holds the promise that everything will be ok. And when that smile is sent … Read more

How Do You Choose the Best Server, CPU, and GPU for Your AI?

With the development of generative artificial intelligence and its practical applications, creating servers for artificial intelligence has become critical for various industries – from automotive manufacturing to medicine, as well as for educational and governmental institutions. Let’s consider the most important components that affect the selection of a server for artificial intelligence: the central processing … Read more

Elon Musk vs. Mainstream Media

:::warning The Tech Company News Brief is Changing! Starting soon, you’ll receive a new (and revamped!) version of HackerNoon’s editorial driven, once-weekly newsletter. Keep your eyes peeled! ::: What happens when the world’s richest man gets caught in the crosshairs of one of the oldest and most reputable news organizations in the world? Fireworks 🎆 … Read more

The #crypto-api Writing Contest by CoinGecko and HackerNoon

Greetings, Hackers! As always, the HackerNoon team wants to help you get rewarded for your niche insights, subject matter expertise, and writing skills. In light of this, we’re pleased to announce the inaugural #crypto-api Writing Contest – brought to you by CoinGecko and HackerNoon! We invite builders, innovators, and all participants in the cryptocurrency industry to share … Read more

Solving LeetCode Problems Using Graph Theory

Fundamentals of Graph Theory A graph is a mathematical structure used to model pairwise relationships between objects. A graph consists of a set of vertices (or nodes) and a set of edges, each of which connects a pair of vertices. This allows the representation of various data as networks, including road networks, social connections, relationships … Read more

Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning: Prompts

:::info This is paper is available on arxiv under CC 4.0 DEED license. Authors: (1) Dhruv Shah, UC Berkeley and he contributed equally; (2) Michael Equi, UC Berkeley and he contributed equally; (3) Blazej Osinski, University of Warsaw; (4) Fei Xia, Google DeepMind; (5) Brian Ichter, Google DeepMind; (6) Sergey Levine, UC Berkeley and Google … Read more

Navigation with Large Language Models: System Evaluation

:::info This is paper is available on arxiv under CC 4.0 DEED license. Authors: (1) Dhruv Shah, UC Berkeley and he contributed equally; (2) Michael Equi, UC Berkeley and he contributed equally; (3) Blazej Osinski, University of Warsaw; (4) Fei Xia, Google DeepMind; (5) Brian Ichter, Google DeepMind; (6) Sergey Levine, UC Berkeley and Google … Read more

Navigation with Large Language Models: LLM Heuristics for Goal-Directed Exploration

:::info This is paper is available on arxiv under CC 4.0 DEED license. Authors: (1) Dhruv Shah, UC Berkeley and he contributed equally; (2) Michael Equi, UC Berkeley and he contributed equally; (3) Blazej Osinski, University of Warsaw; (4) Fei Xia, Google DeepMind; (5) Brian Ichter, Google DeepMind; (6) Sergey Levine, UC Berkeley and Google … Read more

Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning: Related Work

:::info This is paper is available on arxiv under CC 4.0 DEED license. Authors: (1) Dhruv Shah, UC Berkeley and he contributed equally; (2) Michael Equi, UC Berkeley and he contributed equally; (3) Blazej Osinski, University of Warsaw; (4) Fei Xia, Google DeepMind; (5) Brian Ichter, Google DeepMind; (6) Sergey Levine, UC Berkeley and Google … Read more

The Surprising Link Between Cybersecurity Incidents and CEOs

Imagine having a thriving business booming with significant revenue generated through organic traffic by SEO. But there’s a hidden threat – cybersecurity – around the corner, which may sap all this revenue and make you go bankrupt. Honestly, many businesses may be at the loom of this painted scenario. Here’s why! Comparing Accenture’s cybersecurity findings … Read more

These Coding Interview Questions Will Separate the Pros From the Amateurs

Coding Interview Questions Greetings, fellow developers! Throughout my career, I’ve conducted over 100 interviews with developers of all levels, from junior devs to seasoned veterans. And you know what? In that time, I’ve crafted a set of 10 tricky questions that I pose to every new candidate. Why? Well, it’s simple: these questions allow me … Read more

The Journey into Digital Forensics: Exploring Career Opportunities (Revealing Insights)

Digital Forensics and Incident Response (DFIR) is a specialized field within information security focused on managing cybersecurity incidents. It involves identifying, mitigating, and investigating these incidents, which is known as incident response. Additionally, the field includes the application of forensic techniques, referred to as digital forensics, to analyze and gather evidence. Digital forensics typically begins … Read more