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08/23/2023
Unleashing IoT Security: Assessing the Effectiveness of Best Practices in Protecting Against Threats
The Internet of Things (IoT) market is rapidly growing and is expected t...
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08/10/2023
Accountability of Things: Large-Scale Tamper-Evident Logging for Smart Devices
Our modern world relies on a growing number of interconnected and intera...
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08/01/2023
FLAIRS: FPGA-Accelerated Inference-Resistant Secure Federated Learning
Federated Learning (FL) has become very popular since it enables clients...
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07/27/2023
Don't Shoot the Messenger: Localization Prevention of Satellite Internet Users
Satellite Internet plays an increasingly important role in geopolitical ...
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04/04/2023
To ChatGPT, or not to ChatGPT: That is the question!
ChatGPT has become a global sensation. As ChatGPT and other Large Langua...
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02/15/2023
ARGUS: Context-Based Detection of Stealthy IoT Infiltration Attacks
IoT application domains, device diversity and connectivity are rapidly g...
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02/14/2023
Oops..! I Glitched It Again! How to Multi-Glitch the Glitching-Protections on ARM TrustZone-M
Voltage Fault Injection (VFI), also known as power glitching, has proven...
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02/06/2023
AuthentiSense: A Scalable Behavioral Biometrics Authentication Scheme using Few-Shot Learning for Mobile Platforms
Mobile applications are widely used for online services sharing a large ...
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01/23/2023
BayBFed: Bayesian Backdoor Defense for Federated Learning
Federated learning (FL) allows participants to jointly train a machine l...
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01/17/2023
Follow Us and Become Famous! Insights and Guidelines From Instagram Engagement Mechanisms
With 1.3 billion users, Instagram (IG) has also become a business tool. ...
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10/21/2022
DARWIN: Survival of the Fittest Fuzzing Mutators
Fuzzing is an automated software testing technique broadly adopted by th...
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10/14/2022
Close the Gate: Detecting Backdoored Models in Federated Learning based on Client-Side Deep Layer Output Analysis
Federated Learning (FL) is a scheme for collaboratively training Deep Ne...
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10/13/2022
POSE: Practical Off-chain Smart Contract Execution
Smart contracts enable users to execute payments depending on complex pr...
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05/11/2022
Trusted Container Extensions for Container-based Confidential Computing
Cloud computing has emerged as a corner stone of today's computing lands...
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05/04/2022
V'CER: Efficient Certificate Validation in Constrained Networks
We address the challenging problem of efficient trust establishment in c...
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02/14/2022
Digital Contact Tracing Solutions: Promises, Pitfalls and Challenges
The COVID-19 pandemic has caused many countries to deploy novel digital ...
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01/24/2022
TheHuzz: Instruction Fuzzing of Processors Using Golden-Reference Models for Finding Software-Exploitable Vulnerabilities
The increasing complexity of modern processors poses many challenges to ...
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01/03/2022
DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection
Federated Learning (FL) allows multiple clients to collaboratively train...
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10/15/2021
Chunked-Cache: On-Demand and Scalable Cache Isolation for Security Architectures
Shared cache resources in multi-core processors are vulnerable to cache ...
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09/21/2021
FakeWake: Understanding and Mitigating Fake Wake-up Words of Voice Assistants
In the area of Internet of Things (IoT) voice assistants have become an ...
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03/23/2021
ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning
Ethereum smart contracts are automated decentralized applications on the...
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01/06/2021
FLGUARD: Secure and Private Federated Learning
Recently, a number of backdoor attacks against Federated Learning (FL) h...
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10/29/2020
CURE: A Security Architecture with CUstomizable and Resilient Enclaves
Security architectures providing Trusted Execution Environments (TEEs) h...
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09/29/2020
SoK: On the Security Challenges and Risks of Multi-Tenant FPGAs in the Cloud
In their continuous growth and penetration into new markets, Field Progr...
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08/10/2020
Trustworthy AI Inference Systems: An Industry Research View
In this work, we provide an industry research view for approaching the d...
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07/05/2020
Offline Model Guard: Secure and Private ML on Mobile Devices
Performing machine learning tasks in mobile applications yields a challe...
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07/01/2020
LeakyPick: IoT Audio Spy Detector
Manufacturers of smart home Internet of Things (IoT) devices are increas...
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06/10/2020
Mind the GAP: Security Privacy Risks of Contact Tracing Apps
Contact tracing apps running on mobile devices promise to reduce the man...
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12/10/2019
V0LTpwn: Attacking x86 Processor Integrity from Software
Fault-injection attacks have been proven in the past to be a reliable wa...
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10/11/2019
SADAN: Scalable Adversary Detection in Autonomous Networks
Autonomous collaborative networks of devices are emerging in numerous do...
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09/20/2019
HybCache: Hybrid Side-Channel-Resilient Caches for Trusted Execution Environments
Modern multi-core processors share cache resources for maximum cache uti...
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02/08/2019
ARM2GC: Succinct Garbled Processor for Secure Computation
We present ARM2GC, a novel secure computation framework based on Yao's G...
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12/20/2018
Control Behavior Integrity for Distributed Cyber-Physical Systems
Cyber-physical control systems, such as industrial control systems (ICS)...
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12/01/2018
When a Patch is Not Enough - HardFails: Software-Exploitable Hardware Bugs
In this paper, we take a deep dive into microarchitectural security from...
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08/09/2018
Baseline functionality for security and control of commodity IoT devices and domain-controlled device lifecycle management
The emerging Internet of Things (IoT) drastically increases the number o...
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08/08/2018
Peek-a-Boo: I see your smart home activities, even encrypted!
A myriad of IoT devices such as bulbs, switches, speakers in a smart hom...
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07/13/2018
ASSURED: Architecture for Secure Software Update of Realistic Embedded Devices
Secure firmware update is an important stage in the IoT device life-cycl...
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04/20/2018
DIoT: A Self-learning System for Detecting Compromised IoT Devices
IoT devices are being widely deployed. Many of them are vulnerable due t...
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04/20/2018
DÏoT: A Crowdsourced Self-learning Approach for Detecting Compromised IoT Devices
IoT devices are being widely deployed. Many of them are vulnerable due t...
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08/15/2016