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Publication search results
found 21 matches
- 2024
- Jonathan Peck
, Bart Goossens
, Yvan Saeys
:
An Introduction to Adversarially Robust Deep Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2071-2090 (2024) - Jonathan Peck, Bart Goossens:
Robust width: A lightweight and certifiable adversarial defense. CoRR abs/2405.15971 (2024) - 2022
- Arne Gevaert, Jonathan Peck, Yvan Saeys:
Distilling Deep RL Models Into Interpretable Neuro-Fuzzy Systems. FUZZ-IEEE 2022: 1-8 - Arne Gevaert, Jonathan Peck, Yvan Saeys:
Distilling Deep RL Models Into Interpretable Neuro-Fuzzy Systems. CoRR abs/2209.03357 (2022) - 2020
- Raaghavi Sivaguru, Jonathan Peck
, Femi G. Olumofin, Anderson C. A. Nascimento
, Martine De Cock
:
Inline Detection of DGA Domains Using Side Information. IEEE Access 8: 141910-141922 (2020) - Jonathan Peck
, Bart Goossens, Yvan Saeys:
Detecting adversarial manipulation using inductive Venn-ABERS predictors. Neurocomputing 416: 202-217 (2020) - Raaghavi Sivaguru, Jonathan Peck, Femi G. Olumofin, Anderson C. A. Nascimento, Martine De Cock:
Inline Detection of DGA Domains Using Side Information. CoRR abs/2003.05703 (2020) - Utku Ozbulak, Jonathan Peck, Wesley De Neve, Bart Goossens, Yvan Saeys, Arnout Van Messem
:
Regional Image Perturbation Reduces Lp Norms of Adversarial Examples While Maintaining Model-to-model Transferability. CoRR abs/2007.03198 (2020) - 2019
- Jonathan Peck
, Claire Nie, Raaghavi Sivaguru, Charles Grumer, Femi G. Olumofin, Bin Yu, Anderson C. A. Nascimento
, Martine De Cock
:
CharBot: A Simple and Effective Method for Evading DGA Classifiers. IEEE Access 7: 91759-91771 (2019) - Charles Grumer, Jonathan Peck, Femi G. Olumofin, Anderson C. A. Nascimento
, Martine De Cock:
Hardening DGA Classifiers Utilizing IVAP. IEEE BigData 2019: 6063-6065 - Arne Gevaert, Jonathan Peck, Yvan Saeys:
Distillation of Deep Reinforcement Learning Models Using Fuzzy Inference Systems. BNAIC/BENELEARN 2019 - Jonathan Peck, Bart Goossens, Yvan Saeys:
Calibrated Multi-Probabilistic Prediction as a Defense against Adversarial Attacks. BNAIC/BENELEARN 2019 - Jonathan Peck, Bart Goossens, Yvan Saeys:
Calibrated Multi-probabilistic Prediction as a Defense Against Adversarial Attacks. BNAIC/BENELEARN (Selected Papers) 2019: 85-125 - Jonathan Peck, Bart Goossens, Yvan Saeys:
Detecting adversarial examples with inductive Venn-ABERS predictors. ESANN 2019 - Robert H. Peck
, Jon Timmis
, Andy M. Tyrrell
:
Omni-Pi-tent: An Omnidirectional Modular Robot With Genderless Docking. TAROS (2) 2019: 307-318 - Jonathan Peck, Claire Nie, Raaghavi Sivaguru, Charles Grumer, Femi G. Olumofin, Bin Yu, Anderson C. A. Nascimento, Martine De Cock:
CharBot: A Simple and Effective Method for Evading DGA Classifiers. CoRR abs/1905.01078 (2019) - 2017
- Jonathan Peck, Joris Roels, Bart Goossens, Yvan Saeys:
Lower bounds on the robustness to adversarial perturbations. NIPS 2017: 804-813 - 2016
- Li Zhou, Adriana Nicholson Vest, Raymond A. Peck, Jonathan Sredl, Xuechen Huang
, Yaniv Bar-Cohen, Michael J. Silka, Jay D. Pruetz, Ramen H. Chmait, Gerald E. Loeb:
Minimally invasive implantable fetal micropacemaker: mechanical testing and technical refinements. Medical Biol. Eng. Comput. 54(12): 1819-1830 (2016) - Jonathan C. Peck:
Biocognitive Evolution. Handbook of Science and Technology Convergence 2016: 43-52 - 2013
- Gerard F. Laniak, Gabriel Olchin, Jonathan L. Goodall
, Alexey A. Voinov
, Mary C. Hill, Pierre Glynn
, Gene Whelan, Gary N. Geller
, Nigel W. T. Quinn, Michiel Blind, Scott D. Peckham
, Sim M. Reaney
, Noha Gaber, Robert Kennedy, Andrew Hughes
:
Integrated environmental modeling: A vision and roadmap for the future. Environ. Model. Softw. 39: 3-23 (2013) - Scott D. Peckham
, Jonathan L. Goodall
:
Driving plug-and-play models with data from web services: A demonstration of interoperability between CSDMS and CUAHSI-HIS. Comput. Geosci. 53: 154-161 (2013)
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