Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Tiffany Bao"'
Autor:
Yan Shoshitaishvili, Tiffany Bao
Publikováno v:
Game Theory and Machine Learning for Cyber Security
Software security research traditionally focuses on the development of specific offense and defense techniques on software vulnerabilities. Software security techniques are useful in practice only to the extent they can be leveraged to achieve a goal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4cae7a3c4298a998cec6ebe267c535a
https://doi.org/10.1002/9781119723950.ch12
https://doi.org/10.1002/9781119723950.ch12
Autor:
Penghui Zhang, Zhibo Sun, Sukwha Kyung, Hans Walter Behrens, Zion Leonahenahe Basque, Haehyun Cho, Adam Oest, Ruoyu Wang, Tiffany Bao, Yan Shoshitaishvili, Gail-Joon Ahn, Adam Doupé
Publikováno v:
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a1d3c48a4a6922f24032ad103b831df
https://doi.org/10.1145/3548606.3559334
https://doi.org/10.1145/3548606.3559334
Publikováno v:
Proceedings of the 2022 on Cloud Computing Security Workshop.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60894a8478af5e5284128ba662512be6
https://doi.org/10.1145/3560810.3564265
https://doi.org/10.1145/3560810.3564265
Autor:
Ananta Soneji, Faris Bugra Kokulu, Carlos Rubio-Medrano, Tiffany Bao, Ruoyu Wang, Yan Shoshitaishvili, Adam Doupe
Publikováno v:
2022 IEEE Symposium on Security and Privacy (SP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cd516d1e092c6a4ab19704acf1a2387
https://doi.org/10.1109/sp46214.2022.9833581
https://doi.org/10.1109/sp46214.2022.9833581
Autor:
Haehyun Cho, Jinbum Park, Adam Oest, Tiffany Bao, Ruoyu Wang, Yan Shoshitaishvili, Adam Doupé, Gail-Joon Ahn
Publikováno v:
Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b931a37e5e1e3dce1896733f0e6129bc
https://doi.org/10.1145/3503222.3507780
https://doi.org/10.1145/3503222.3507780
Cross-site scripting (XSS) is the most common vulnerability class in web applications over the last decade. Much research attention has focused on building exploit mitigation defenses for this problem, but no technique provides adequate protection in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3de449295d79211f80dd6ea39793ec6c
Autor:
Giovanni Vigna, Lukas Dresel, Kyle Zeng, Tiffany Bao, Stefano Zanero, Mario Polino, Nicola Ruaro, Christopher Kruegel, Andrea Continella
Publikováno v:
RAID
Proceedings of 2021 24th International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2021), October 6-8, 2021, Donostia/San Sebastiàn, Spain, 456-468
STARTPAGE=456;ENDPAGE=468;TITLE=Proceedings of 2021 24th International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2021), October 6-8, 2021, Donostia/San Sebastiàn, Spain
Proceedings of 2021 24th International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2021), October 6-8, 2021, Donostia/San Sebastiàn, Spain, 456-468
STARTPAGE=456;ENDPAGE=468;TITLE=Proceedings of 2021 24th International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2021), October 6-8, 2021, Donostia/San Sebastiàn, Spain
Exploring many execution paths in a binary program is essential to discover new vulnerabilities. Dynamic Symbolic Execution (DSE) is useful to trigger complex input conditions and enables an accurate exploration of a program while providing extensive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c62a834eb8007b35533c19a2629fb773
https://doi.org/10.1145/3471621.3471865
https://doi.org/10.1145/3471621.3471865
Autor:
Brad Wardman, Yan Shoshitaishvili, Gail-Joon Ahn, Zhibo Sun, Haehyun Cho, RC Johnson, Alexandros Kapravelos, Tiffany Bao, Adam Oest, Adam Doupé, Shaown Sarker, Ruoyu Wang, Penghui Zhang
Publikováno v:
IEEE Symposium on Security and Privacy
Phishing is a critical threat to Internet users. Although an extensive ecosystem serves to protect users, phishing websites are growing in sophistication, and they can slip past the ecosystem’s detection systems—and subsequently cause real-world
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10d7b94b9fc0be6b6f9cec92187eb52f
https://doi.org/10.1109/sp40001.2021.00021
https://doi.org/10.1109/sp40001.2021.00021
Autor:
Ruoyu Wang, Penghui Zhang, Haehyun Cho, Yan Shoshitaishvili, Adam Doupé, Marzieh Bitaab, Rana Pourmohamad, Zhibo Sun, Adam Oest, Gail-Joon Ahn, Tiffany Bao, Doowon Kim
Publikováno v:
eCrime
As the COVID-19 pandemic started triggering widespread lockdowns across the globe, cybercriminals did not hesitate to take advantage of users' increased usage of the Internet and their reliance on it. In this paper, we carry out a comprehensive measu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b197977c583dbd2f34e793b2f3335c0
http://arxiv.org/abs/2103.12843
http://arxiv.org/abs/2103.12843
Autor:
Ruoyu Wang, Tiffany Bao, Jaejong Baek, Pradeep Kumar Duraisamy Soundrapandian, Yan Shoshitaishvili, Gail-Joon Ahn, Adam Doupé
Publikováno v:
HICSS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::608db517e725871b992c14d2d43493dd
https://doi.org/10.24251/hicss.2021.869
https://doi.org/10.24251/hicss.2021.869