ISTC-ARSA

Site Update and New Publications

  • Sat 03 June 2017
  • Carter Yagemann

We have pushed a lot of great new content to the ISTC-ARSA website:

  • Our About page has been updated with more specifics regarding our research activities.

  • Under the new Themes tab we have a listing of our current projects.

  • The Publications tab is now an Outcomes dropdown menu including Publications, Presentations, and Software.

We are also happy to report a handful of accepted and published works including:

Adversarial machine learning

  • Weiyang Liu, Bo Dai, James M. Rehg, and Le Song. Iterative Machine Teaching. To appear in International Conference on Machine Learning (ICML 2017). Sydney, Australia. August 2017. [Paper]

  • Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, and Le Song. SphereFace: Deep Hypersphere Embedding for Face Recognition. To appear in CVPR 2017. Honolulu, Hawaii. July, 2017. [Paper] [Results]

Adversarial-resillience

  • Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Li Chen, Michael E. Kounavis, and Duen Horng Chau. Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression. [Paper]

MLSPLOIT

  • Steffen Maass, Changwoo Min, Sanidhya Kashyap, Woonhak Kang, Mohan Kumar, and Taesoo Kim. Mosaic: Processing a Trillion-Edge Graph on a Single Machine. In Proceedings of the 12st ACM European Conference on Computer Systems (EuroSys 2017). Belgrade, Serbia. April, 2017. [Paper] [Slides]

Next-generation security analytics

  • Ren Ding, Chenxiong Qian, Chengyu Song, Bill Harris, Taesoo Kim, and Wenke Lee. Efficient Protection of Path-Sensitive Control Security. To appear in Proceedings of the 26th USENIX Security Symposium (Security 2017). Vancouver, Canada. August 2017.

Robust security analytics

  • Sangho Lee, Ming-Wei Shih, Prasun Gera, Taesoo Kim, Hyesoon Kim, and Marcus Peinado. Inferring Fine-grained Control Flow Inside SGX Enclaves with Branch Shadowing. To appear in Proceedings of the 26th USENIX Security Symposium (Security 2017). Vancouver, Canada. August 2017.

  • Jaehyuk Lee, Jinsoo Jang, Yeongjin Jang, Nohyun Kwak, Yeseul Choi, Changho Choi, Taesoo Kim, Marcus Peinado, and Brent B. Kang. Hacking in Darkness: Return-oriented Programming against Secure Enclaves. To appear in Proceedings of the 26th USENIX Security Symposium (Security 2017). Vancouver, Canada. August 2017.

  • Jinho Jung, Chanil Jeon, Max Wolotsky, Insu Yun, and Taesoo Kim. AVPASS: Leaking and Bypassing Antivirus Detection Model Automatically. To appear in BlackHat USA 2017. Las Vegas, NV. Auguest 2017.

  • Seongmin Kim, Juhyeng Han, Jaehyeong Ha, Taesoo Kim, and Dongsu Han. Enhancing Security and Privacy of Tor's Ecosystem by using Trusted Execution Environments. In Proceedings of the 14th USENIX Symposium on Networked Systems Design and Implementation (NSDI 2017). Boston, MA. March 2017. [Paper] [Slides] [Code]

  • Jaebaek Seo, Byoungyoung Lee, Sungmin Kim, Ming-Wei Shih, Insik Shin, Dongsu Han, and Taesoo Kim. SGX-Shield: Enabling Address Space Layout Randomization for SGX Programs. In Proceedings of the 2017 Network and Distributed System Security Symposium (NDSS 2017). San Diego, CA. February 2017. [Paper] [Slides]

  • Ming-Wei Shih, Sangho Lee, Taesoo Kim, and Marcus Peinado. T-SGX: Eradicating Controlled-Channel Attacks Against Enclave Programs. In Proceedings of the 2017 Network and Distributed System Security Symposium (NDSS 2017). San Diego, CA. February 2017. [Paper] [Slides] [Code]