StepSecurity

Security isn't about generating paperwork; it's about finding the cracks before the water gets in. 

The $50,000 PDF No One Reads: Why Your Security Audits Are Failing

The system focuses on two lending paths, P2C and P2P. MUTM token price has climbed about 250%. The official launch price is set at $0.06.

New Crypto Gains Momentum in Q4 2025 Ahead of 20% Price Rise

Moonlock's survey finds the Mac immunity myth is fading. Discover why user anxiety is rising and how AI is creating a new generation of macOS threats.

Mac's Aura of Invincibility Fades as AI Anxiety Takes Root, New Survey Finds

Oracle Cloud offers a free VM with 4 vCPUs, 24GB RAM, and 200GB storage (as of 2025).

How to Set Up a Free Oracle Cloud VM for Web Development (2025 Guide)

Security mechanisms under the hood of simple file actions

Security's Moving Parts 01: Linux Access Control Mechanisms

The wait is over! After a very exciting competition throughout this past year, the results for the 2023 Startups of the Year, North America are here!

Startups of The Year 2023 Winners: North America 

Learn everything you need to know about Enterprise Technology via these 47 free HackerNoon stories.

47 Stories To Learn About Enterprise Technology

Delve into the gripping account of the Sony Hack 2014, exploring the cyber attack's journey from initial breach to widespread fallout.

From Breach to Fallout: The Story of the 2014 Sony Hack 

Each time you visit a website, your web browser (e.g., Chrome, Safari, or Firefox) first checks for the existence of one of two digital certificates

The “Connection Not Private” Warning Explained

Security NFTs combine the ownership and transparency of NFTs with an innovative investing framework turning musicians into entrepreneurs and fans into investors

How NFTs Can Turn Musicians Into Entrepreneurs and Fans Into Investors

Ever since technology was introduced into the business world, there has been a massive change in the fortunes of business sectors. So much so, that every established business sectors and upcoming sector, look to technology to either scale them up or maintain equilibrium, or in case of emerging companies, give them that initial push so that they can get
to the autopilot mode.

How IoT Solutions Helps in Healthcare Industry

Security issues of crypto exchanges and shared my thoughts on how to make trading convenient and safe - Viktor Kochetov, CEO at Kyrrex, a digital wallet and professional cryptocurrency trading.

Security in the language of crypto exchange: providing traders with peace of mind

Cyber-security experts have been running around educating people on cyber-attacks and threats but the most interesting bit is the number of misconceptions that businesses have in the realm of implementing cyber security solutions. Take an example of the number of companies that carry the myth that security implementations are expensive or perhaps difficult to handle and as a result, they resort to cheap, ineffective methods that end up being costly and time consuming. Well, it is no secret that hackers today have evolved their techniques and recognized that cyber-attacks are highly lucrative. Think of it this way, hackers might access your sensitive data such as credit cards or SSN details and sell them in the black market. Therefore, it is time to look at some of these misconceptions and dispel them or in other words let us straighten things&nbsp;up!

9 Myths of Security Implementation

There are countless statistics available online that points out one thing on what kind of content users engage in — videos. Videos fascinate people and spur audience count to expand tremendously.

How to Build a Video Sharing Website Like Youtube and Vimeo with Brand New Technologies

Security Tokens Series (5 part series — Part 2)

Security Tokens vs. Utility Tokens — How different are they?

Here at <a href="https://engineering.dazn.com/" target="_blank">DAZN</a>, we are migrat­ing from our lega­cy plat­form into a brave new world of <a href="https://micro-frontends.org/" target="_blank">microfron­tends</a> and microser­vices. Along the way, we also dis­cov­ered the delights that AWS Step Func­tion has to offer, for exam­ple…

Step Functions: how to implement semaphores for state machines

There’s no argument that data is the fuel of the future and the expansion of data has led to the rapid adoption of cloud services. As one of the main categories of cloud computing services,

Applying security to the Twelve-Factor App

<a href="https://hackernoon.com/tagged/security" target="_blank">Security</a> is very important when developing applications. How do you encrypt data and manage encryption keys in your application? Successful key <a href="https://hackernoon.com/tagged/management" target="_blank">management</a> is critical to the security of a cryptosystem. This is where KMS’s come into play. Let’s first see what a KMS really is.

Managing Encryption Keys With AWS KMS In Node.js

<p><em>This is a simplified guide to an AI model called <a href="https://www.aimodels.fyi/models/replicate/talknet-asd-zsxkib?utm_source=hackernoon&utm_medium=referral">talknet-asd</a> maintained by <a href="https://www.aimodels.fyi/creators/replicate/zsxkib?utm_source=hackernoon&utm_medium=referral">zsxkib</a>. If you like these kinds of analysis, join <a href="https://www.aimodels.fyi/?utm_source=hackernoon&utm_medium=referral">AIModels.fyi</a> or follow us on <a href="https://x.com/aimodelsfyi">Twitter</a>.</em></p>

<h2>Model overview</h2>
<p><code>talknet-asd</code> is an audio-visual active speaker detection model that identifies whether a face in a video is speaking. Built on research presented at ACM MM 2021, this model combines visual and audio information to determine speaker activity with high accuracy. Unlike models such as <a href="https://aimodels.fyi/models/replicate/video-retalking-xiankgx?utm_source=hackernoon&utm_medium=referral">video-retalking</a> that focus on lip synchronization or <a href="https://aimodels.fyi/models/replicate/multitalk-zsxkib?utm_source=hackernoon&utm_medium=referral">multitalk</a> that generate multi-person conversations, this model solves the fundamental problem of detecting who is actively speaking in existing footage.</p>
<h2>Model inputs and outputs</h2>
<p>The model accepts video files and processes them using configurable parameters to detect active speakers. It returns both visual output with marked speakers and structured data about detection results. The flexibility of the input parameters allows users to adjust detection sensitivity and processing scale based on their specific video characteristics.</p>
<h3>Inputs</h3>
<ul>
<li><strong>Video</strong> - Path to the video file (MP4 or AVI format)</li>
<li><strong>Face Det Scale</strong> - Scale factor for face detection; lower values process faster but may miss smaller faces (default: 0.25)</li>
<li><strong>Min Track</strong> - Minimum number of frames required to establish a continuous speaker track (default: 10)</li>
<li><strong>Num Failed Det</strong> - Number of missed detections allowed before tracking stops (default: 10)</li>
<li><strong>Min Face Size</strong> - Minimum face size in pixels to consider for detection (default: 1)</li>
<li><strong>Crop Scale</strong> - Bounding box scale for extracted face regions (default: 0.4)</li>
<li><strong>Start</strong> - Start time in seconds for processing (default: 0)</li>
<li><strong>Duration</strong> - Video duration to process; -1 processes the entire video (default: -1)</li>
<li><strong>Return Boundingbox Percentages</strong> - Option to return coordinates as percentages of video dimensions (default: false)</li>
<li><strong>Return Json</strong> - Whether to return results in JSON format (default: true)</li>
</ul>
<h3>Outputs</h3>
<ul>
<li><strong>Media Path</strong> - Array of output video file paths with speaker annotations</li>
<li><strong>Json Str</strong> - Structured detection results in JSON format containing speaker timing and spatial information</li>
</ul>
<h2>Capabilities</h2>
<p>The model detects active speakers across video sequences with 96.3% average F1 score on standard benchmarks. It marks speaking faces with green bounding boxes and non-speaking faces with red boxes. The model handles challenges like varying lighting conditions, multiple faces in frame, and continuous speaker tracking across scenes. It works on videos in the wild without requiring controlled studio conditions.</p>
<h2>What can I use it for?</h2>
<p>Extract active speaker information from video content for downstream applications like automated video editing, speaker identification in multi-participant videos, or dialogue system training. Content creators can use detection results to automatically highlight who is speaking in podcasts, interviews, or meetings. Researchers developing conversational AI systems similar to those explored in <a href="https://aimodels.fyi/papers/arxiv/talkingmachines-real-time-audio-driven-facetime-style?utm_source=hackernoon&utm_medium=referral">real-time audio-driven face generation</a> can leverage speaker detection as a preprocessing step. Security and surveillance applications can identify speaking activity in footage analysis.</p>
<h2>Things to try</h2>
<p>Experiment with the face detection scale parameter to balance accuracy and speed on different video resolutions. Test on multi-speaker scenarios where multiple people appear in frame simultaneously to see how the model prioritizes detection. Try processing videos with varying lighting conditions and camera angles to understand robustness. Adjust the minimum track parameter to control sensitivity to brief speaking moments versus sustained speech. Use the bounding box percentage output option when working with videos of different resolutions to ensure consistency across your pipeline.</p>

<hr/><p><strong>Original post:</strong> <a href="https://www.aimodels.fyi/models/replicate/talknet-asd-zsxkib?utm_source=hackernoon&utm_medium=referral">Read on AIModels.fyi</a></p>

TalkNet-ASD: The “Who’s Talking?” Model for Any Video

The Java “tomb” is filling up. Here’s what’s being buried—and what you should use instead.

Java’s Growing Graveyard: The Old APIs Being Buried—and What Replaced Them

HTTP Strict Transport Security (HSTS) is a web security policy mechanism that helps protect websites against protocol downgrade attacks and cookie hijacking. 

Understanding HSTS: The Backbone of Modern Web Security

This is the first in a planned multi-part series in which I'll write about security topics in blockchain development from a few different angles.

STEPSECURITY

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Since 2021

StepSecurity's stories on HackerNoon

The $50,000 PDF No One Reads: Why Your Security Audits Are Failing

New Crypto Gains Momentum in Q4 2025 Ahead of 20% Price Rise

Mac's Aura of Invincibility Fades as AI Anxiety Takes Root, New Survey Finds

How to Set Up a Free Oracle Cloud VM for Web Development (2025 Guide)

Security's Moving Parts 01: Linux Access Control Mechanisms

Startups of The Year 2023 Winners: North America

47 Stories To Learn About Enterprise Technology

From Breach to Fallout: The Story of the 2014 Sony Hack

The “Connection Not Private” Warning Explained

How NFTs Can Turn Musicians Into Entrepreneurs and Fans Into Investors

How IoT Solutions Helps in Healthcare Industry

Security in the language of crypto exchange: providing traders with peace of mind

9 Myths of Security Implementation

How to Build a Video Sharing Website Like Youtube and Vimeo with Brand New Technologies

Security Tokens vs. Utility Tokens — How different are they?

Step Functions: how to implement semaphores for state machines

Applying security to the Twelve-Factor App

Managing Encryption Keys With AWS KMS In Node.js

TalkNet-ASD: The “Who’s Talking?” Model for Any Video

Java’s Growing Graveyard: The Old APIs Being Buried—and What Replaced Them

Understanding HSTS: The Backbone of Modern Web Security

Security Manager Design Pattern for Solidity Smart Contracts

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