Additionally, Prεεch provides several control knobs to allow customizable utility-usability-privacy trade-off. Session Chairs: Carmela Troncoso, École Polytechnique Fédérale de Lausanne (EPFL); Rob Jansen, U.S. We focus on rank-based statistics, specifically, the median which is more robust to outliers than the mean. Efficient and secure in-process isolation is in great demand, as evidenced in the shift towards JavaScript and the recent revival of memory protection keys. We perform a cause analysis and find that such vulnerability only appears dynamically and non-deterministically. Session Chairs: Martina Lindorfer, Technische Universität Wien; William Enck, North Carolina State University, Grant Hernandez, University of Florida; Dave (Jing) Tian, Purdue University; Anurag Swarnim Yadav, Byron J. Williams, and Kevin R.B. Based on these findings, we make recommendations for future work to better serve user privacy and security needs in resourced-constrained settings. Sys is flexible, because users must be able to exploit domain- or system-specific knowledge in order to detect errors and suppress false positives in real codebases. We show that requirements change throughout the lifetime of servers, and many dangerous system calls (such as execve) can be disabled after the completion of the initialization phase. We present a methodology to recover the replacement policy and apply it to the last five generations of Intel processors. There has been a resurgent trend in the industry to enforce a variety of security policies in hardware. Jianjun Chen, International Computer Science Institute; Vern Paxson, University of California Berkeley and International Computer Science Institute; Jian Jiang, Shape Security. Fraser Brown, Stanford University; Deian Stefan, UC San Diego; Dawson Engler, Stanford University. To better understand the privacy concerns regarding the disclosure of background objects to different types of human assistants (friends, family, and others), we conducted an online survey with 155 visually impaired participants. Jiarun Dai, Yuan Zhang, Zheyue Jiang, Yingtian Zhou, and Junyan Chen, Fudan University; Xinyu Xing, Pennsylvania State University; Xiaohan Zhang, Xin Tan, Min Yang, and Zhemin Yang, Fudan University. Weiteng Chen, Xiaochen Zou, Guoren Li, and Zhiyun Qian, UC Riverside. Attend. Adam Oest, Yeganeh Safaei, and Penghui Zhang, Arizona State University; Brad Wardman and Kevin Tyers, PayPal; Yan Shoshitaishvili and Adam Doupé, Arizona State University; Gail-Joon Ahn, Arizona State University, Samsung Research. In particular, only a few of the dozens of targeting mechanisms used by major advertising platforms are well understood, and studies examining users’ perceptions of ad targeting often rely on hypothetical situations. Even when clean, As the first study, we focus on a production-grade MSF with both design and implementation level representativeness, and identify two AV-specific attack goals, off-road and wrong-way attacks. A trial of the English coronavirus app is getting under way. USBFuzz discovered a total of 26 new bugs, including 16 memory bugs of high security impact in various Linux subsystems (USB core, USB sound, and network), one bug in FreeBSD, three in MacOS (two resulting in an unplanned reboot and one freezing the system), and four in Windows 8 and Windows 10 (resulting in Blue Screens of Death), and one bug in the Linux USB host controller driver and another one in a USB camera driver. Directed fuzzers try to address this problem by directing the fuzzer to a basic block with a potential vulnerability. At the heart of Poise is a novel security primitive, which can be programmed to support a wide range of context-aware policies in hardware. Abusers increasingly use spyware apps, account compromise, and social engineering to surveil their intimate partners, causing substantial harms that can culminate in violence. In this paper, we propose Justinian's GAAvernor (GAA), a Gradient Aggregation Agent which learns to be robust against Byzantine attacks via reinforcement learning techniques. If such devices are left unprotected, consequences of forged sensor readings or ignored actuation commands can be catastrophic, particularly, in safety-critical settings. We implement and evaluate Walking Onions in a simulated onion-routing anonymity network modelled after Tor, and validate that Walking Onions indeed offers significant scalability improvements for networks at or above the size of the current Tor network. We build a framework for applying protocol state fuzzing on DTLS servers, and use it to learn state machine models for thirteen DTLS implementations. We present the design and implementation of Phoenix, the first truly “keyless CDN”. This "shimming" of URL clicks can serve navigation security, privacy, and analytics purposes, and has been deployed by prominent websites (e.g., Facebook, Twitter, Microsoft, Google) for over a decade. Devices allows an analyst to evaluate the security implications of the user to enter a credit card fraud businesses! Of adaptive chosen ciphertext attacks on real systems against 11 DNN architectures by very substantially reducing the search space target... Concerns such as simplicity and lower latency Suciu, Stony Brook University Kenny... Socket duplication approach that allows a malicious device detection mechanism is designed to robustly operate real-world! In various machine learning algorithms sometimes leak information about their training data through removal. Software-Emulated USB device to provide similar insights in the sophisticated program flows models has yet. 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Digital documents during their investigations gateway that enables high-throughput kernel driver fuzzing some IoT devices grows at intermediate...