RICE: Breaking Through the Training Bottlenecks of Reinforcement Learning with Explanation by Cheng, Zelei, Wu, Xian, Yu, Jiahao, Yang, Sabrina, Wang, Gang, Xing, Xinyu

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Take a Step Further: Understanding Page Spray in Linux Kernel Exploitation by Guo, Ziyi, Le, Dang K, Lin, Zhenpeng, Zeng, Kyle, Wang, Ruoyu, Bao, Tiffany, Shoshitaishvili, Yan, Doupé, Adam, Xing, Xinyu

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Preventing Timing Side-Channels via Security-Aware Just-In-Time Compilation by Qin, Qi, JulianAndres JiYang, Fu, Song, Chen, Taolue, Xing, Xinyu

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Defending Against Adversarial Samples Without Security through Obscurity by Guo, Wenbo, Wang, Qinglong, Zhang, Kaixuan, Ororbia, Alexander G., Huang, Sui, Liu, Xue, Giles, C. Lee, Lin, Lin, Xing, Xinyu

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Band topologies of hexaborides CaB6 and EuB6 by Li, Zhi, Ning, Shu-Yu, Su, HaiBin, Iitaka, Toshiaki, Yang, XinYu, Zhang, Jiu-Xing, Takami, Tohyama

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DANCE: Enhancing saliency maps using decoys by Lu, Yang, Guo, Wenbo, Xing, Xinyu, William Stafford Noble

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BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning by Wang, Lun, Zaynah Javed, Wu, Xian, Guo, Wenbo, Xing, Xinyu, Song, Dawn

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A direct-digitization open-loop gyroscope frontend with +/-8000°/s full-scale range and noise floor of 0.0047°/s/√Hz by Ezekwe, Chinwuba, Ganta, Saikrishna, Xing, Xinyu, Grad, Anton, Mayer, Thomas, Visconti, Andrea, Diazzi, Francesco, Chen, Man-Chia, Morton, Danielle, Valli, Luca, Wolf, Robert, Eghtesadi, Ashkan, Wolfer, Tobias, Pietzko, Michael, Grathwohl, Alex, Northemann, Thomas, Schoenleber, Richard, Khalilyulin, Ruslan, Mukhopadhyay, Ishita, Negut, Alexandru, Kosov, Artjom, Serafin, Andreas Christian, Hayek, Jan, Sun, Lin

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Clinical outcomes and prognostic factors of patients with epithelial ovarian cancer subjected to first-line treatment： a retrospective study of 251 cases by Fu, Yunfeng, Wang, Xinyu, Pan, Zimin, Xie, Xing

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TrustShadow: Secure Execution of Unmodified Applications with ARM TrustZone by Guan, Le, Liu, Peng, Xing, Xinyu, Ge, Xinyang, Zhang, Shengzhi, Yu, Meng, Jaeger, Trent

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TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems by Guo, Wenbo, Wang, Lun, Xing, Xinyu, Du, Min, Song, Dawn

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From Physical to Cyber: Escalating Protection for Personalized Auto Insurance by Guan, Le, Xu, Jun, Wang, Shuai, Xing, Xinyu, Lin, Lin, Huang, Heqing, Liu, Peng, Lee, Wenke

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Explaining Deep Learning Models - A Bayesian Non-parametric Approach by Guo, Wenbo, Huang, Sui, Yunzhe Tao, Xing, Xinyu, Lin, Lin

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PTrix: Efficient Hardware-Assisted Fuzzing for COTS Binary by Chen, Yaohui, Mu, Dongliang, Xu, Jun, Sun, Zhichuang, Shen, Wenbo, Xing, Xinyu, Long, Lu, Mao, Bing

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Towards Interrogating Discriminative Machine Learning Models by Guo, Wenbo, Zhang, Kaixuan, Lin, Lin, Huang, Sui, Xing, Xinyu

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A Comparative Study of Rule Extraction for Recurrent Neural Networks by Wang, Qinglong, Zhang, Kaixuan, Ororbia, Alexander G, Xing, Xinyu, Liu, Xue, C Lee Giles

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An Empirical Evaluation of Rule Extraction from Recurrent Neural Networks by Wang, Qinglong, Zhang, Kaixuan, Ororbia, Alexander G, Xing, Xinyu, Liu, Xue, C Lee Giles

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Learning Adversary-Resistant Deep Neural Networks by Wang, Qinglong, Guo, Wenbo, Zhang, Kaixuan, Ororbia, Alexander G, Xing, Xinyu, Liu, Xue, C Lee Giles

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Adversary Resistant Deep Neural Networks with an Application to Malware Detection by Wang, Qinglong, Guo, Wenbo, Zhang, Kaixuan, Ororbia, Alexander G, Xing, Xinyu, C Lee Giles, Liu, Xue

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Agent-based Fault Detection Mechanism in Wireless Sensor Networks by Shakshuki, Elhadi, Xing, Xinyu, Zhang, Haiyi

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