Browse "School of Computing(전산학부)" by Author Choi, Daeseon
Showing results 1 to 17 of 17
| Advanced Ensemble Adversarial Example on Unknown Deep Neural Network Classifiers Kwon, Hyun; Kim, Yongchul; Park, Ki-Woong; Yoon, Hyunsoo; Choi, Daeseon, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E101D, no.10, pp.2485 - 2500, 2018-10 |
| CAPTCHA image generation systems using generative adversarial networks Kwon, Hyun; Kim, Yongchul; Yoon, Hyunsoo; Choi, Daeseon, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E101D, no.2, pp.543 - 546, 2018-02 |
Classification Score Approach for Detecting Adversarial Example in Deep Neural Network Kwon, Hyun; Kim, Yongchul; Yoon, Hyunsoo; Choi, Daeseon, MULTIMEDIA TOOLS AND APPLICATIONS, v.80, no.7, pp.10339 - 10360, 2021-03 |
| Customer Data Scanner for Hands-Free Mobile Payment Kim, Soo Hyung; Choi, Daeseon; Jin, Seung-Hun; Yoon, Hyunsoo; Son, JinWoo; Yoon, MyungKeun, IEICE TRANSACTIONS ON COMMUNICATIONS, v.E98B, no.11, pp.2291 - 2299, 2015-11 |
| Data Correction For Enhancing Classification Accuracy By Unknown Deep Neural Network Classifiers Kwon, Hyun; Yoon, Hyunsoo; Choi, Daeseon, KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, v.15, no.9, pp.3243 - 3257, 2021-09 |
| Detecting Online Game Chargeback Fraud Based on Transaction Sequence Modeling Using Recurrent Neural Network Lee, Namsup; Yoon, Hyunsoo; Choi, Daeseon, 18th World International Conference on Information Security and Application, WISA 2017, pp.297 - 309, Springer Verlag, 2018-08 |
| Fooling a Neural Network in Military Environments: Random Untargeted Adversarial Example KWON, HYUN; Kim, Yongchul; Yoon, Hyunsoo; Choi, Daeseon, Military Communications Conference 2018 (MILCOM 2018), pp.456 - 461, IEEE(Communications Society), 2018-10-30 |
| Friend-safe adversarial examples in an evasion attack on a deep neural network Kwon, Hyun; Yoon, Hyunsoo; Choi, Daeseon, 20th International Conference on International Conference on Information Security and Cryptology, ICISC 2017, pp.351 - 367, Springer Verlag, 2017-12-01 |
| Friend-safe evasion attack: An adversarial example that is correctly recognized by a friendly classifier Kwon, Hyun; Kim, Yongchul; Park, Ki-Woong; Yoon, Hyunsoo; Choi, Daeseon, COMPUTERS & SECURITY, v.78, pp.380 - 397, 2018-08 |
| Multi-Targeted Adversarial Example in Evasion Attack on Deep Neural Network Kwon, Hyun; Kim, Yongchul; Park, Ki-Woong; Yoon, Hyunsoo; Choi, Daeseon, IEEE ACCESS, v.6, pp.46084 - 46096, 2018-08 |
| One-Pixel Adversarial Example that is Safe for Friendly Deep Neural Networks Kwon, Hyun; Kim, Yongchul; Yoon, Hyunsoo; Choi, Daeseon, 19th World International Conference on Information Security and Applications (WISA), pp.42 - 54, Korea Institute of Information Security & Cryptology, 2018-08-23 |
| Optimal Cluster Expansion-Based Intrusion Tolerant System to Prevent Denial of Service Attacks Kwon, Hyun; Kim, Yongchul; Yoon, Hyunsoo; Choi, Daeseon, APPLIED SCIENCES-BASEL, v.7, no.11, 2017-11 |
| Priority Adversarial Example in Evasion Attack on Multiple Deep Neural Networks Kwon, Hyun; Yoon, Hyunsoo; Choi, Daeseon, The First International Conference on Artificial Intelligence in information and communication (ICAIIC 2019), pp.399 - 404, The Korean Institute of Communications and Information Sciences, 2019-02-13 |
| Random Untargeted Adversarial Example on Deep Neural Network Kwon, Hyun; Kim, Yongchul; Yoon, Hyunsoo; Choi, Daeseon, SYMMETRY-BASEL, v.10, no.12, 2018-12 |
| Restricted Evasion Attack: Generation of Restricted-Area Adversarial Example Kwon, Hyun; Yoon, Hyunsoo; Choi, Daeseon, IEEE ACCESS, v.7, pp.60908 - 60919, 2019-05 |
| Selective Audio Adversarial Example in Evasion Attack on Speech Recognition System Kwon, Hyun; Kim, Yongchul; Yoon, Hyunsoo; Choi, Daeseon, IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, v.15, pp.526 - 538, 2020-01 |
| Selective Untargeted Evasion Attack: An Adversarial Example That Will Not Be Classified as Certain Avoided Classes Kwon, Hyun; Kim, Yongchul; Yoon, Hyunsoo; Choi, Daeseon, IEEE ACCESS, v.7, pp.73493 - 73503, 2019-06 |
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