Defensive Approximation: Securing CNNs using Approximate Computing

Defensive Approximation: Securing CNNs using Approximate Computing

13 June 2020

Khaled N. Khasawneh

Nael B. Abu-Ghazaleh

Papers citing "Defensive Approximation: Securing CNNs using Approximate Computing"

9 / 9 papers shown

Title
Defending with Errors: Approximate Computing for Robustness of Deep Neural Networks Amira Guesmi Ihsen Alouani Khaled N. Khasawneh M. Baklouti T. Frikha Mohamed Abid Nael B. Abu-Ghazaleh AAML OOD 27 2 0 02 Nov 2022
Adversarial Attack on Radar-based Environment Perception Systems Amira Guesmi Ihsen Alouani AAML 33 2 0 02 Nov 2022
RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks Alberto Marchisio Vojtěch Mrázek Andrea Massa Beatrice Bussolino Maurizio Martina Muhammad Shafique AAML 46 5 0 11 Oct 2022
Approximate Computing and the Efficient Machine Learning Expedition J. Henkel Hai Helen Li A. Raghunathan M. Tahoori Swagath Venkataramani Xiaoxuan Yang Georgios Zervakis 25 17 0 02 Oct 2022
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning Mohammad Hossein Samavatian Saikat Majumdar Kristin Barber R. Teodorescu AAML 21 2 0 31 Jul 2022
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems Shail Dave Alberto Marchisio Muhammad Abdullah Hanif Amira Guesmi Aviral Shrivastava Ihsen Alouani Muhammad Shafique 34 13 0 18 Apr 2022
Is Approximation Universally Defensive Against Adversarial Attacks in Deep Neural Networks? Ayesha Siddique K. A. Hoque AAML 32 6 0 02 Dec 2021
On the Noise Stability and Robustness of Adversarially Trained Networks on NVM Crossbars Chun Tao Deboleena Roy I. Chakraborty Kaushik Roy AAML 32 2 0 19 Sep 2021
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 293 5,842 0 08 Jul 2016