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Design of an incoherent IR-UWB receiver front-end in 180-nm CMOS technology., , , , , и . ISQED, стр. 186-190. IEEE, (2015)Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks., , и . NDSS, The Internet Society, (2018)An all-digital frequency tunable IR-UWB transmitter with an approximate 15th derivative Gaussian pulse generator., , , , , , , и . Integr., (2019)Low-power, high-linearity transconductor with a high tolerance for process and temperature variations., , , , и . IET Circuits Devices Syst., 14 (8): 1295-1304 (2020)Security Risks in Deep Learning Implementations., , , и . CoRR, (2017)Security Risks in Deep Learning Implementations., , , и . IEEE Symposium on Security and Privacy Workshops, стр. 123-128. IEEE Computer Society, (2018)A Novel 0.8-V 79-nW CMOS-Only Voltage Reference With -55-dB PSRR @ 100 Hz., , , , и . IEEE Trans. Circuits Syst. II Express Briefs, 65-II (7): 849-853 (2018)Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models., , , , и . CoRR, (2022)Automatically Evading Classifiers: A Case Study on PDF Malware Classifiers., , и . NDSS, The Internet Society, (2016)Robust Principles: Architectural Design Principles for Adversarially Robust CNNs., , , , , , , , и . BMVC, стр. 739-740. BMVA Press, (2023)