Ayesha Siddique, Khaza Anuarul Hoque. Is Approximation Universally Defensive Against Adversarial Attacks in Deep Neural Networks?. In Cristiana Bolchini, Ingrid Verbauwhede, Ioana Vatajelu, editors, 2022 Design, Automation & Test in Europe Conference & Exhibition, DATE 2022, Antwerp, Belgium, March 14-23, 2022. pages 364-369, IEEE, 2022. [doi]
@inproceedings{SiddiqueH22, title = {Is Approximation Universally Defensive Against Adversarial Attacks in Deep Neural Networks?}, author = {Ayesha Siddique and Khaza Anuarul Hoque}, year = {2022}, doi = {10.23919/DATE54114.2022.9774563}, url = {https://doi.org/10.23919/DATE54114.2022.9774563}, researchr = {https://researchr.org/publication/SiddiqueH22}, cites = {0}, citedby = {0}, pages = {364-369}, booktitle = {2022 Design, Automation & Test in Europe Conference & Exhibition, DATE 2022, Antwerp, Belgium, March 14-23, 2022}, editor = {Cristiana Bolchini and Ingrid Verbauwhede and Ioana Vatajelu}, publisher = {IEEE}, isbn = {978-3-9819263-6-1}, }