SecuNet

Securing Machine Learning and Deep Learning Models Against Adversarial Attacks

Machine Learning Model Vulnerability Checker

Used Technologies

ABOUT BEYOND

Cyber Security

Cyber Security

Cyber Security

Leading the charge in cyber defense innovation

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OUR PRODUCT

Simple to use tools for intricate security requirements

Network Security Solutions

Advanced Threat Detection Systems​

Data Encryption and Protection

Secure Tomorrow *

 Defend Data *

 Protecting Futures *

 Digital Shield *

 Fortified Security *

 Cyber Guardians *

 Shielded Networks *

 Trusted Defense *

  Secure Solutions *

 Resilient Protection *

Secure Tomorrow *

 Defend Data *

 Protecting Futures *

 Digital Shield *

 Fortified Security *

 Cyber Guardians *

 Shielded Networks *

 Trusted Defense *

  Secure Solutions *

 Resilient Protection *

Secure Tomorrow *

 Defend Data *

 Protecting Futures *

 Digital Shield *

 Fortified Security *

 Cyber Guardians *

 Shielded Networks *

 Trusted Defense *

  Secure Solutions *

 Resilient Protection *

DOCUMENTS

Project Documents & Resources

Access comprehensive documentation detailing every stage of our research, from initial proposals to final presentations. Explore in-depth analyses, methodologies, and progress reports that outline our approach to securing machine learning models against adversarial attacks. Download key documents to follow the project journey, milestones, and outcomes.

Topic Assessment

The document gives information regarding the description of the project, the nature of the solution, domain expertise objectives overview, and novelty.

Project Proposal

The document contains details like goals, objectives, important dates, milestones, and requirements needed to start and complete the project.

Journal Paper

A journal paper contains writing that provides a Literature review, Research methodology, analysis, interpretation, and argument based on in-depth independent research.

Final Thesis

The document contains the Proposed solution to the research question, which was finalized after completing the research.

Status Document

The document describes the progress of the project within the specific time period and compares it against the project plan checklist.

Research Logbook

The document describes the progress of the project within the specific time period and compares it against the project plan checklist.

PRESENTATIONS

Project Presentations

Topic Assessment Evaluation Presentation

Initial Presentation with Overview of the research

Proposal Presentation

Initial Presentation with Overview of Research Problem

Progress Presentation 1

50% of Project Completion

Progress Presentation 2

90% of Project Completion

Final
Presentation

100% Completion with deployed Solution

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Statisfied Clients
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Years of Experience
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Professional Team
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Project Completed

Test Resilience Against Adversarial Attack

Aims to provide a platform that enables developers to test their models against adversarial attacks.

WHY BEYOND

Comprehensive Protection Strategies

Trusted Defense

95%

Digital Shield

85%

Resilient Protection

90%

Simple and Efficient

Simple and user friendly interface making it easy for users to test their models efficiently.

Tested Defenses

Suggests defenses that have been tested against the attacks to help secure machine learning models

TESTIMONIALS

At Beyond, We Prioritize your Safety & Data Integrity.

Success

HELP & SUPPORT

Some More Frequently Asked Questions.

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How do firewalls enhance security?

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How can I protect my mobile devices?

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How can I identify a secure website?

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