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
Taguchi Design of Experiments Application in Robust sEMG Based Force Estimation
Mohsen Ghanaei - Hadi Kalani - Alireza Akbarzadeh
Predicting the Recovery Rate of COVID-19 Using a Novel Hybrid Method
Fatemeh Ahouz - Ebrahim Sayahi
African Vultures Optimization Algorithm for Optimal Damping Controllers Design in the Electrical Power Grid System
Aliyu Sabo - Theophilus Ebuka Odoh - Samuel Habu - Hossein Shahinzadeh - Farshad Ebrahimi
Fine-tuned Generative Adversarial Network-based Model for Medical Image Super-Resolution
Alireza Aghelan - Modjtaba Rouhani
Degarbayan-SC: A Colloquial Paraphrase Farsi Subtitles Dataset
Mohammad Javad Aghajani - Mohammad Ali Keyvanrad
No-Reference Video Quality Assessment by Deep Feature Maps Relations
Amir Hossein Bakhtiari - Azadeh Mansouri
Dual Memory Structure for Memory Augmented Neural Networks for Question-Answering Tasks
Amir Bidokhti - Shahrokh Ghaemmaghami
Histopathology Image-Based Cancer Classification Utilizing Transfer Learning Approach
Amir Meydani - Alireza Meidani - Ali Ramezani - Maryam Shabani - Mohammad Mehdi Kazeminasab - Shahriar Shahablavasani
Efficient Sub-Carrier Relationship Extraction for Human Activity Recognition via EEGNet in Wireless Sensing
Siavash Zaravashan - Sadegh ArefiZadeh - Sajjad Torabi
Novel Insights in Deep Learning for Predicting Climate Phenomena
Mohammad Naisipour - Saghar Ganji - Iraj Saeedpanah - Behnam Mehrakizadeh - Ahmad Reza Labibzadeh
more
Samin Hamayesh - Version 41.7.6