USENIX

Raccoon Attack: Finding and Exploiting Most-Significant-Bit-Oracles in TLS-DH(E)

Diffie-Hellman key exchange (DHKE) is a widely adopted method for exchanging cryptographic key material in real-world protocols like TLS-DH (E). Past attacks on TLS-DH (E) focused on weak parameter ...
USENIX

Mahimahi: Accurate Record-and-Replay for HTTP

This paper presents Mahimahi, a framework to record traffic from HTTP-based applications, and later replay it under emulated network conditions. Mahimahi improves upon prior record-and-replay ...
USENIX

Practical Byzantine Fault Tolerance

This paper describes a new replication algorithm that is able to tolerate Byzantine faults. We believe that Byzantine-fault-tolerant algorithms will be increasingly important in the future because ...
USENIX

Not So Fast: Analyzing the Performance of WebAssembly vs. Native Code

Abhinav Jangda, Bobby Powers, Emery D. Berger, and Arjun Guha, University of Massachusetts Amherst ...
USENIX

Hidden Voice Commands

Voice interfaces are becoming more ubiquitous and are now the primary input method for many devices. We explore in this paper how they can be attacked with hidden voice commands that are ...
USENIX

Who Is Answering My Queries: Understanding and Characterizing Interception of the DNS Resolution Path

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are ...
USENIX

FIRM: An Intelligent Fine-grained Resource Management Framework for SLO-Oriented Microservices

Haoran Qiu, Subho S. Banerjee, Saurabh Jha, Zbigniew T. Kalbarczyk, and Ravishankar K. Iyer, University of Illinois at Urbana-Champaign ...
USENIX

SLUBStick: Arbitrary Memory Writes through Practical Software Cross-Cache Attacks within the Linux Kernel

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are ...
USENIX

How ML Breaks: A Decade of Outages for One Large ML Pipeline

Reliable management of continuous or periodic machine learning pipelines at large scale presents significant operational challenges. Using experience from almost 15 years of operating some of the ...
USENIX

FIRM-AFL: High-Throughput Greybox Fuzzing of IoT Firmware via Augmented Process Emulation

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are ...
USENIX

Adversarial Preprocessing: Understanding and Preventing Image-Scaling Attacks in Machine Learning

Erwin Quiring, David Klein, Daniel Arp, Martin Johns, and Konrad Rieck, TU Braunschweig ...
USENIX

Lend Me Your Ear: Passive Remote Physical Side Channels on PCs

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are ...