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Found 11 papers, 8 papers with code
Widen The Backdoor To Let More Attackers In
As collaborative learning and the outsourcing of data collection become more common, malicious actors (or agents) which attempt to manipulate the learning process face an additional obstacle as they compete with each other.
Signal Injection Attacks against CCD Image Sensors
Since cameras have become a crucial part in many safety-critical systems and applications, such as autonomous vehicles and surveillance, a large body of academic and non-academic work has shown attacks against their main component - the image sensor.
MalPhase: Fine-Grained Malware Detection Using Network Flow Data
Economic incentives encourage malware authors to constantly develop new, increasingly complex malware to steal sensitive data or blackmail individuals and companies into paying large ransoms.
They See Me Rollin': Inherent Vulnerability of the Rolling Shutter in CMOS Image Sensors
We validate our model against empirical data collected on two separate cameras, showing that by simply using information from the camera's datasheet the adversary can accurately predict the injected distortion size and optimize their attack accordingly.
Speaker Anonymization with Distribution-Preserving X-Vector Generation for the VoicePrivacy Challenge 2020
In this paper, we present a Distribution-Preserving Voice Anonymization technique, as our submission to the VoicePrivacy Challenge 2020.
SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial Perturbations
Research into adversarial examples (AE) has developed rapidly, yet static adversarial patches are still the main technique for conducting attacks in the real world, despite being obvious, semi-permanent and unmodifiable once deployed.
Seeing Red: PPG Biometrics Using Smartphone Cameras
PPG signals are obtained by recording a video from the camera as users are resting their finger on top of the camera lens.
QPEP: A QUIC-Based Approach to Encrypted Performance Enhancing Proxies for High-Latency Satellite Broadband
However, status-quo services are often unencrypted by default and vulnerable to eavesdropping attacks.
Cryptography and Security Networking and Internet Architecture Performance
Snoopy: Sniffing Your Smartwatch Passwords via Deep Sequence Learning
Demand for smartwatches has taken off in recent years with new models which can run independently from smartphones and provide more useful features, becoming first-class mobile platforms.
Classi-Fly: Inferring Aircraft Categories from Open Data using Machine Learning
Classi-Fly obtains the correct aircraft category with an accuracy of over 88%, demonstrating that it can improve the meta data necessary for applications working with air traffic communication.
Biometric Backdoors: A Poisoning Attack Against Unsupervised Template Updating
In this work, we investigate the concept of biometric backdoors: a template poisoning attack on biometric systems that allows adversaries to stealthily and effortlessly impersonate users in the long-term by exploiting the template update procedure.
Cryptography and Security
