Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters

9 December 2020

Papers citing "Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters"

26 / 26 papers shown

Title
Are Neuromorphic Architectures Inherently Privacy-preserving? An Exploratory Study Ayana Moshruba Ihsen Alouani Maryam Parsa AAML 109 3 0 24 Feb 2025
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds Hejia Geng Peng Li AAML 83 3 0 20 Aug 2023
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead Mohamed Bennai Mahum Naseer T. Theocharides C. Kyrkou O. Mutlu Lois Orosa Jungwook Choi OOD 98 100 0 04 Jan 2021
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead Maurizio Capra Beatrice Bussolino Alberto Marchisio Guido Masera Maurizio Martina Mohamed Bennai BDL 77 144 0 21 Dec 2020
DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks Nitin Rathi Kaushik Roy 51 135 0 09 Aug 2020
FSpiNN: An Optimization Framework for Memory- and Energy-Efficient Spiking Neural Networks Rachmad Vidya Wicaksana Putra Mohamed Bennai 57 46 0 17 Jul 2020
An Efficient Spiking Neural Network for Recognizing Gestures with a DVS Camera on the Loihi Neuromorphic Processor Riccardo Massa Alberto Marchisio Maurizio Martina Mohamed Bennai 31 93 0 16 May 2020
NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips Valerio Venceslai Alberto Marchisio Ihsen Alouani Maurizio Martina Mohamed Bennai AAML 43 34 0 16 May 2020
Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations Saima Sharmin Nitin Rathi Priyadarshini Panda Kaushik Roy AAML 136 89 0 23 Mar 2020
Deep Learning for Financial Applications : A Survey A. Ozbayoglu M. U. Gudelek Omer Berat Sezer AIFin AI4CE 70 389 0 09 Feb 2020
Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient Ling Liang Xing Hu Lei Deng Yujie Wu Guoqi Li Yufei Ding Peng Li Yuan Xie AAML 72 63 0 01 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 406 42,393 0 03 Dec 2019
FT-ClipAct: Resilience Analysis of Deep Neural Networks and Improving their Fault Tolerance using Clipped Activation L. Hoang Muhammad Abdullah Hanif Mohamed Bennai AI4CE 44 114 0 02 Dec 2019
SpikeGrad: An ANN-equivalent Computation Model for Implementing Backpropagation with Spikes Johannes C. Thiele O. Bichler A. Dupret 48 33 0 03 Jun 2019
A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks Saima Sharmin Priyadarshini Panda Syed Shakib Sarwar Chankyu Lee Wachirawit Ponghiran Kaushik Roy AAML 44 67 0 07 May 2019
Closing the Accuracy Gap in an Event-Based Visual Recognition Task Bodo Rückauer Nicolas Känzig Shih-Chii Liu T. Delbruck Yulia Sandamirskaya 42 22 0 06 May 2019
Controlled Forgetting: Targeted Stimulation and Dopaminergic Plasticity Modulation for Unsupervised Lifelong Learning in Spiking Neural Networks Jason M. Allred Kaushik Roy CLL 54 31 0 08 Feb 2019
CapsAttacks: Robust and Imperceptible Adversarial Attacks on Capsule Networks Alberto Marchisio Giorgio Nanfa Faiq Khalid Muhammad Abdullah Hanif Maurizio Martina Mohamed Bennai GAN AAML 55 26 0 28 Jan 2019
FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning Faiq Khalid Muhammad Abdullah Hanif Semeen Rehman Junaid Qadir Mohamed Bennai AAML 41 34 0 04 Nov 2018
QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks Faiq Khalid Hassan Ali Hammad Tariq Muhammad Abdullah Hanif Semeen Rehman Rehan Ahmed Mohamed Bennai AAML MQ 69 37 0 04 Nov 2018
Adversarial Training for Probabilistic Spiking Neural Networks Alireza Bagheri Osvaldo Simeone Bipin Rajendran AAML 50 26 0 22 Feb 2018
Adversarial Examples: Attacks and Defenses for Deep Learning Xiaoyong Yuan Pan He Qile Zhu Xiaolin Li SILM AAML 86 1,622 0 19 Dec 2017
Foolbox: A Python toolbox to benchmark the robustness of machine learning models Jonas Rauber Wieland Brendel Matthias Bethge AAML 63 283 0 13 Jul 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 285 12,060 0 19 Jun 2017
Deep Learning in the Automotive Industry: Applications and Tools André Luckow M. Cook Nathan Ashcraft Edwin Weill Emil Djerekarov Bennie Vorster 92 118 0 30 Apr 2017
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 255 14,912 1 21 Dec 2013