Keyword:adversarial attacks

Publications
Transforming Mobile Sensor Data Security Using Finance AI and Cutting-Edge Deep Learning Adeoye Qudus EasyChair Preprint 14873
Addressing Data Privacy and Security Challenges in Telemedicine Applications Utilizing Convolutional Neural Networks Dylan Stilinki EasyChair Preprint 14658
AI and Machine Learning for Advanced Persistent Threat Detection in Finance: Towards Higher Accuracy and Better Protection Alakitan Samad EasyChair Preprint 14635
Revolutionizing Mobile Sensor Data Authentication with Finance AI and Advanced Deep Learning Techniques Alakitan Samad EasyChair Preprint 14629
Adversarial Robustness and Defense Mechanisms in Machine Learning Axel Egon EasyChair Preprint 14442
Robust and Secure AI in Cybersecurity: Detecting and Defending Against Adversarial Attacks Edwin Frank and Harold Jonathan EasyChair Preprint 13463
Explainability and Interpretability in Robust and Secure AI Algorithms Edwin Frank EasyChair Preprint 13460
The Intersection of Artificial Intelligence and Cybersecurity: Unveiling Opportunities and Confronting Challenges Deep Himmatbhai Ajabani EasyChair Preprint 12049
Findings on Adversarial Robustness through Autoencoder-Based Denoising for Image Security Susmita Ghosh and Abhiroop Chatterjee EasyChair Preprint 11764
CMMR: a Composite Multidimensional Models Robustness Evaluation Framework for Deep Learning Liu Wanyi, Zhang Shigeng, Wang Weiping, Zhang Jian and Liu Xuan EasyChair Preprint 11020
A Quantitative Comparison of Image Classification models under Adversarial attacks and defenses Sarthak Kathuria, Kartikeya Khullar, Nishant Chahar, Prince Gupta and Preeti Kaur EasyChair Preprint 5946
Lateralized Approach for Robustness Against Attacks in Emotion Categorization from Images Harisu Abdullahi Shehu, Abubakar Siddique, Will Browne and Hedwig Eisenbarth EasyChair Preprint 5296
How Many Bits Does it Take to Quantize Your Neural Network? Mirco Giacobbe, Thomas A. Henzinger and Mathias Lechner EasyChair Preprint 1000