Pixel Poisoning: Hacking Generative AI
A fierce visual defense against generative AI — fight back with poisoned pixels, stealthy watermarks, and adversarial trickery.
Dedicated fourth-year B.Tech CSE–AI student with strong expertise in Machine Learning, Data Science, and Cybersecurity. Skilled in problem‑solving and innovation, seeking an opportunity to contribute to organizational growth and security through advanced analysis and defense strategies.
I am a passionate Cybersecurity professional with a strong focus on Vulnerability Assessment and Penetration Testing. My expertise extends to cryptography, secure coding practices, and network security.
Currently pursuing my BTech in Computer Science Engineering, I am constantly expanding my knowledge and skills in the rapidly evolving field of information security.
Through the use of machine learning algorithms and lin guistic feature extraction, the system identifies news articles as either authentic or decep tive using the text content of the articles.
Control your mouse with hand gestures using OpenCV, MediaPipe, and Python. A GUI-enabled virtual mouse powered by real-time computer vision.
AI-powered computer vision system for real-time vehicle detection and traffic flow analysis to enable smart city urban planning.
An automated image-based detection system using MobileNet SSD and OpenCV to identify and label pets and people in uploaded photos.
An interactive JavaScript-based quiz game designed to test and track your knowledge of essential machine learning, AI, and neural network concepts.
CGPA:
Percentage: 78.4%
Percentage: 84.0%
CompTIA
zSecurity
Oracle Academy
IBM
Cisco NetAcad
CISCO
AWS Academy
"Hacking Generative Artificial Intelligence: Data Privacy via Image Poisoning" submitted for publication in book "Blockchain solutions for securing IOT networks: Practical applications and case studies"
Secured Top 10 (Offline Category) in Hacknovate 5.0, May 2024, with Team API Alchemist at ABES IT, Ghaziabad
Ranked in the Global Top 4% on TryHackMe, showcasing expertise in cybersecurity, ethical hacking, and VAPT through solving advanced, real-world challenges