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“Adversarial Deep Learning: Threats, Challenges and Defence Mechanisms in Cyber Forensics”

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“Adversarial Deep Learning: Threats, Challenges and Defence Mechanisms in Cyber Forensics”

Organiser:

Kongu Engineering College


Event Location

CSE Block, Kumaran Nagar, Tamil Nadu 638052, India

Start Date & End Date

30-Nov-2019 - 30-Nov-2019

Timing

09:00 - 18:00

Closed

“Adversarial Deep Learning: Threats, Challenges and Defence Mechanisms in Cyber Forensics”

Kongu Engineering College was established in the year 1984, approved by AICTE, New Delhi, accredited by NAAC for 5 years with the grade of “A” and an autonomous institution affiliated to Anna University, Chennai. The institution has completed 34 years of dedicated and excellent service in the field of technical education. It offers 14 UG, 19 PG and 16 Research programmes in Engineering, Applied Science and Management imparting high quality value education in India. It is one of the best self financing engineering colleges imparting high quality technical education in Tamil Nadu, India, and is well-known for its technical excellence, modern facilities, record of performance with excellent results and enterprising students. 2nd Position among Self Financing Engineering Colleges in Tamilnadu, 9th position in top Engineering colleges of super excellence and 10th position among 126 top Engineering Colleges in India including (IITs and NITs) in Competition Success Review (CSR) June 2018 issue. Kongu Engineering College has been awarded as the cleanest campus for the year 2017 by AICTE.

 

TOPICS TO BE COVERED

1. Cryptography protocols and algorithms for deep learning
2. Adversarial attacks in deep learning
3. Deep learning for intrusion detection and malware classification
4. Deep Learning for spam and phishing detection
5. Steganography and Steganalysis
6. Privacy and trust challenges associated with deep learning forensics


ELIGIBILITY

Faculties, Students and Research Scholars from AICTE approved Engineering colleges, Polytechnics and Arts and Science Colleges with relevant background can attend.

 

SCHEDULED DATES

Last Date for Receipt of Applications : 25.11.2019
Intimation of Selection : 26.11.2019
Confirmation by Participants : 27.11.2019

 

Contact Person

Dr.R.R.Rajalaxmi
Professor/Co-ordinator
CSIR Sponsored National Seminar on
“Adversarial Deep Learning: Threats,
Challenges and Defence Mechanisms in
Cyber Forensics”
Mobile: 9486561199, 9942974490,7418825624

Venue

CSE Block, Kumaran Nagar, Tamil Nadu 638052, India

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