0% Complete
Home
/
13th International Conference on Computer and Knowledge Engineering
Adversarial Robustness Evaluation with Separation Index
Authors :
Bahareh Kaviani Baghbaderani
1
Afsaneh Hasanebrahimi
2
Ahmad Kalhor
3
Reshad Hosseini
4
1- School of Electrical and Computer Engineering, College of Engineering, University of Tehran
2- School of Electrical and Computer Engineering, College of Engineering, University of Tehran
3- School of Electrical and Computer Engineering, College of Engineering, University of Tehran
4- School of Electrical and Computer Engineering, College of Engineering, University of Tehran
Keywords :
Separation Index،Robustness Evaluation،Variational Autoencoder
Abstract :
The paper introduces a method to assess the robustness of deep neural networks against adversarial attacks. It employs a geometric-based separation metric called the Separation Index, which measures the distance between data points with distinct labels within the latent space of variational autoencoders utilized for classification tasks. The Separation Index quantifies the degree of data separation by comparing each data point with its neighboring data points. A higher value signifies greater separation between different classes, thus ensuring enhanced robustness. This approach yields dependable results when confronted with gradientbased adversarial attacks, including FGSM, R-FGSM, MI-FGSM, and PGD, under both white-box and blackbox conditions.
Papers List
List of archived papers
Delay Optimization of a Federated Learning-based UAV-aided IoT network
Hossein Mohammadi Firouzjaei - Javad Zeraatkar Moghaddam - Mehrdad Ardebilipour
Improved TrustChain for Lightweight Devices
Seyed Salar Ghazi - Haleh Amintoosi
Attention Transfer in Self-Regulated Networks for Recognizing Human Actions from Still Images
Masoumeh Chapariniya - Sara Vesali Barazande - Seyed Sajad Ashrafi - Shahriar B.Shokouhi
Emotion Recognition In Persian Speech Using Deep Neural Networks
Ali Yazdani - Hossein Simchi - Yasser Shekofteh
Using Deep Learning for Classification of Lung Cancer on CT Images in Ardabil Province
Mohammad Ali Javadzadeh Barzaki - Jafar Abdollahi - Mohammad Negaresh - Maryam Salimi - Hadi Zolfeghari - Mohsen Mohammadi - Asma Salmani - Rona Jannati - Firouz Amani
Artificial Intelligence applications addressing different aspects of the Covid-19 crisis and key technological solutions for future epidemics control
Nadia Khalili - Hojatollah Hamidi
SASIAF, An Scalable Accelerator For Seismic Imaging on Amazon AWS FPGAs
Mostafa Koraei - S.Omid Fatemi
Impossible differential and zero-correlatin linear cryptanalysis of Marx, Marx2, Chaskey andSpeck32
Mahshid Saberi - Nasour Bagheri - Sadegh Sadeghi
Investigation of topological characteristics of Iranian railway network: A network science approach
Sina Firuzbakht - Mohammad Khansari
Lempel-Ziv-based Hyper-Heuristic Solution for Longest Common Subsequence Problem
Mahdi Nasrollahi - Reza Shami Tanha - Mohsen Hooshmand
more
Samin Hamayesh - Version 41.7.6