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Breaking graph-based IoT malware detection systems using adversarial examples: poster., , , , , , and . WiSec, page 290-291. ACM, (2019)Understanding the Hidden Cost of Software Vulnerabilities: Measurements and Predictions., , , and . SecureComm (1), volume 254 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 377-395. Springer, (2018)Corrigendum to "Domain name system security and privacy: A contemporary survey" Computer Networks Volume 185 (2020) 107699., , , , , and . Comput. Networks, (2021)Adversarial Learning Attacks on Graph-based IoT Malware Detection Systems., , , , , and . ICDCS, page 1296-1305. IEEE, (2019)Examining the Robustness of Learning-Based DDoS Detection in Software Defined Networks., , , , and . DSC, page 1-8. IEEE, (2019)DFD: Adversarial Learning-based Approach to Defend Against Website Fingerprinting., , , , and . INFOCOM, page 2459-2468. IEEE, (2020)Deep Biological Pathway Informed Pathology-Genomic Multimodal Survival Prediction., , and . CoRR, (2023)Where Are You Taking Me? Behavioral Analysis of Open DNS Resolvers., , , and . DSN, page 493-504. IEEE, (2019)POSTER: Understanding the Hidden Cost of Software Vulnerabilities: Measurements and Predictions., , and . AsiaCCS, page 793-795. ACM, (2018)From Blue-Sky to Practical Adversarial Learning., , , , and . TPS-ISA, page 118-127. IEEE, (2020)