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Publication search results
found 68 matches
- 2024
- Hangsheng Zhang, Dongqi Han, Yinlong Liu, Zhiliang Wang, Jiyan Sun, Shangyuan Zhuang, Jiqiang Liu, Jinsong Dong:
Explainable and Transferable Adversarial Attack for ML-Based Network Intrusion Detectors. CoRR abs/2401.10691 (2024) - 2023
- Nadia Daoudi:
Revisiting and Boosting State-of-the-Art ML-based Android Malware detectors. University of Luxembourg, 2023 - Antonio Fotia, Antonella Macheda, Mohamed Riad Sebti, Chiara Nunnari, Massimo Merenda:
Design of a Portable Water Pollutants Detector Exploiting ML Techniques Suitable for IoT Devices Integration. ApplePies 2023: 358-363 - Kunal Mukherjee, Joshua Wiedemeier, Tianhao Wang, James Wei, Feng Chen, Muhyun Kim, Murat Kantarcioglu, Kangkook Jee:
Evading Provenance-Based ML Detectors with Adversarial System Actions. USENIX Security Symposium 2023: 1199-1216 - 2022
- Jeongbin Seo, Heetae Jin, Donghee Yi, Suk Chan Kim:
Two-Stage ML Detector Using Absolute Value of IQ Components and SVM for Adaptive OFDM-IM. IEEE Access 10: 133196-133205 (2022) - Hichem Bendecheche, Said Sadoudi, Djamel Teguig:
The impact of intentional interference on the performances of ML detector in MIMO systems. Phys. Commun. 52: 101663 (2022) - Fatemeh Bahadori, Mostafa Derakhtian, Ali Jamshidi:
Diversity analysis of ML and ZF detectors in physical layer network coding relay system over frequency selective channels. Wirel. Networks 28(8): 3699-3713 (2022) - Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Jiang Hu, Yiran Chen:
Robustify ML-Based Lithography Hotspot Detectors. ICCAD 2022: 134:1-134:7 - Xiaonan Li, Olivier Marin:
Towards Implementing ML-Based Failure Detectors. CoRR abs/2210.00134 (2022) - 2021
- Hussein Hijazi, Ali Haroun, Majed Saad, Ali Chamas Al Ghouwayel, Achraf Dhayni:
Near-Optimal Performance With Low-Complexity ML-Based Detector for MIMO Spatial Multiplexing. IEEE Commun. Lett. 25(1): 122-126 (2021) - Kang Liu, Benjamin Tan, Ramesh Karri, Siddharth Garg:
Training Data Poisoning in ML-CAD: Backdooring DL-Based Lithographic Hotspot Detectors. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(6): 1244-1257 (2021) - Xiangying Tao, Duoli Zhang, Min Wang, Yan Ma, Yukun Song:
Design and Implementation of A High-speed Configurable 2D ML-CFAR Detector. ASICON 2021: 1-4 - Ahmed Abusnaina, Afsah Anwar, Sultan Alshamrani, Abdulrahman Alabduljabbar, Rhongho Jang, DaeHun Nyang, David Mohaisen:
Systemically Evaluating the Robustness of ML-based IoT Malware Detectors. DSN (Supplements) 2021: 3-4 - Junnan Wang, Qixu Liu, Di Wu, Ying Dong, Xiang Cui:
Crafting Adversarial Example to Bypass Flow-&ML- based Botnet Detector via RL. RAID 2021: 193-204 - 2020
- Giovanni Apruzzese, Mauro Andreolini, Mirco Marchetti, Vincenzo Giuseppe Colacino, Giacomo Russo:
AppCon: Mitigating Evasion Attacks to ML Cyber Detectors. Symmetry 12(4): 653 (2020) - Deepak Jose, S. M. Sameer:
A Low Complexity Detector with Near-ML Performance for Generalized Differential Spatial Modulation. SPCOM 2020: 1-5 - Bushra Sabir, Muhammad Ali Babar, Raj Gaire:
An Evasion Attack against ML-based Phishing URL Detectors. CoRR abs/2005.08454 (2020) - 2018
- Mohammad Neinavaie, Alireza Zolghadrasli, Mostafa Derakhtian:
Approximation for the ML detector in decode and forward relay networks and the effect of channel estimation error. IET Commun. 12(18): 2332-2341 (2018) - Saeed Mehboodi, Ali Jamshidi, Mahmoud Farhang:
Spreading sequence estimation algorithms based on ML detector in DSSS communication systems. IET Signal Process. 12(6): 802-809 (2018) - Richard Combes, Sheng Yang:
An Approximate ML Detector for MIMO Channels Corrupted by Phase Noise. IEEE Trans. Commun. 66(3): 1176-1189 (2018) - Alex Alvarado, Erik Agrell, Fredrik Brannstrom:
Asymptotic Comparison of ML and MAP Detectors for Multidimensional Constellations. IEEE Trans. Inf. Theory 64(2): 1231-1240 (2018) - Yo-Seb Jeon, Minji So, Namyoon Lee:
Reinforcement-learning-aided ML detector for uplink massive MIMO systems with low-precision ADCs. WCNC 2018: 1-6 - 2017
- Joaquín Cortez González, Miguel Bazdresch, Omar Longoria-Gandara:
A low-complexity near-ML detector for a 3 × nR hybrid space-time code. LATINCOM 2017: 1-6 - Richard Combes, Sheng Yang:
An Approximate ML Detector for MIMO Channels Corrupted by Phase Noise. CoRR abs/1708.02321 (2017) - 2016
- Xiaoming Dai, Kenichi Higuchi, Zhongshan Zhang, Keping Long, Xu Jin, Xiangming Li, Weiguo Ma:
Enhancing the Performance of the Quasi-ML Receiver (Detector Plus Decoder) for Coded MIMO Systems Via Statistical Information. IEEE Trans. Veh. Technol. 65(5): 3765-3771 (2016) - Roopak Venkatakrishnan, Mladen A. Vouk:
Using Redundancy to Detect Security Anomalies: Towards IoT security attack detectors: The Internet of Things (Ubiquity symposium). Ubiquity 2016(January): 1:1-1:19 (2016) - Alex Alvarado, Erik Agrell, Fredrik Brännström:
Asymptotic Comparison of ML and MAP Detectors for Multidimensional Constellations. CoRR abs/1607.01818 (2016) - 2015
- Beixiong Zheng, Fangjiong Chen, Miaowen Wen, Fei Ji, Hua Yu, Yun Liu:
Low-Complexity ML Detector and Performance Analysis for OFDM With In-Phase/Quadrature Index Modulation. IEEE Commun. Lett. 19(11): 1893-1896 (2015) - Miaowen Wen, Xiang Cheng, Yuyang Bian, H. Vincent Poor:
A Low-Complexity Near-ML Differential Spatial Modulation Detector. IEEE Signal Process. Lett. 22(11): 1834-1838 (2015) - Chun-Tao Lin, Wen-Rong Wu, Chia-Yu Liu:
Low-Complexity ML Detectors for Generalized Spatial Modulation Systems. IEEE Trans. Commun. 63(11): 4214-4230 (2015)
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