134 citations · 419 across the 67 of their papers we have counts for
19 papers · 1 filter
ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning
Zhangchen Xu, Fengqing Jiang, Luyao Niu +3
In Federated Learning (FL), a set of clients collaboratively train a machine learning model (called global model) without sharing their local training data. The local training data…
Game of Trojans: Adaptive Adversaries Against Output-based Trojaned-Model Detectors
Dinuka Sahabandu, Xiaojun Xu, Arezoo Rajabi +4
We propose and analyze an adaptive adversary that can retrain a Trojaned DNN and is also aware of SOTA output-based Trojaned model detectors. We show that such an adversary can ens…
SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding
Zhangchen Xu, Fengqing Jiang, Luyao Niu +3
As large language models (LLMs) become increasingly integrated into real-world applications such as code generation and chatbot assistance, extensive efforts have been made to alig…
BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models
Zhen Xiang, Fengqing Jiang, Zidi Xiong +3
Large language models (LLMs) are shown to benefit from chain-of-thought (COT) prompting, particularly when tackling tasks that require systematic reasoning processes. On the other…
Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications
Fengqing Jiang, Zhangchen Xu, Luyao Niu +4
Large language models (LLMs) are increasingly deployed as the service backend for LLM-integrated applications such as code completion and AI-powered search. LLM-integrated applicat…
MDTD: A Multi Domain Trojan Detector for Deep Neural Networks
Arezoo Rajabi, Surudhi Asokraj, Fengqing Jiang +4
Machine learning models that use deep neural networks (DNNs) are vulnerable to backdoor attacks. An adversary carrying out a backdoor attack embeds a predefined perturbation called…
Electric Vehicles Security and Privacy: Challenges, Solutions, and Future Needs
Alessandro Brighente, Mauro Conti, Denis Donadel +3
Electric Vehicles (EVs) share common technologies with classical fossil-fueled cars, but they also employ novel technologies and components (e.g., Charging System and Battery Manag…
Identity-Based Authentication for On-Demand Charging of Electric Vehicles
Surudhi Asokraj, Tommaso Bianchi, Alessandro Brighente +2
Dynamic wireless power transfer provides means for charging Electric Vehicles (EVs) while driving, avoiding stopping for charging and hence fostering their widespread adoption. Res…
QEVSEC: Quick Electric Vehicle SEcure Charging via Dynamic Wireless Power Transfer
Tommaso Bianchi, Surudhi Asokraj, Alessandro Brighente +2
Dynamic Wireless Power Transfer (DWPT) can be used for on-demand recharging of Electric Vehicles (EV) while driving. However, DWPT raises numerous security and privacy concerns. Re…
A Natural Language Processing Approach for Instruction Set Architecture Identification
Dinuka Sahabandu, Sukarno Mertoguno, Radha Poovendran
Binary analysis of software is a critical step in cyber forensics applications such as program vulnerability assessment and malware detection. This involves interpreting instructio…
Trojan Horse Training for Breaking Defenses against Backdoor Attacks in Deep Learning
Arezoo Rajabi, Bhaskar Ramasubramanian, Radha Poovendran
Machine learning (ML) models that use deep neural networks are vulnerable to backdoor attacks. Such attacks involve the insertion of a (hidden) trigger by an adversary. As a conseq…
EVExchange: A Relay Attack on Electric Vehicle Charging System
Mauro Conti, Denis Donadel, Radha Poovendran +1
To support the increasing spread of Electric Vehicles (EVs), Charging Stations (CSs) are being installed worldwide. The new generation of CSs employs the Vehicle-To-Grid (V2G) para…
Covert Channel-Based Transmitter Authentication in Controller Area Networks
Xuhang Ying, Giuseppe Bernieri, Mauro Conti +2
In recent years, the security of automotive Cyber-Physical Systems (CPSs) is facing urgent threats due to the widespread use of legacy in-vehicle communication systems. As a repres…
Mitigating Vulnerabilities of Voltage-based Intrusion Detection Systems in Controller Area Networks
Sang Uk Sagong, Radha Poovendran, Linda Bushnell
Data for controlling a vehicle is exchanged among Electronic Control Units (ECUs) via in-vehicle network protocols such as the Controller Area Network (CAN) protocol. Since these p…
Detecting ADS-B Spoofing Attacks using Deep Neural Networks
Xuhang Ying, Joanna Mazer, Giuseppe Bernieri +3
The Automatic Dependent Surveillance-Broadcast (ADS-B) system is a key component of the Next Generation Air Transportation System (NextGen) that manages the increasingly congested…
TACAN: Transmitter Authentication through Covert Channels in Controller Area Networks
Xuhang Ying, Giuseppe Bernieri, Mauro Conti +1
Nowadays, the interconnection of automotive systems with modern digital devices offers advanced user experiences to drivers. Electronic Control Units (ECUs) carry out a multitude o…
Shape of the Cloak: Formal Analysis of Clock Skew-Based Intrusion Detection System in Controller Area Networks
Xuhang Ying, Sang Uk Sagong, Andrew Clark +2
This paper presents a new masquerade attack called the cloaking attack and provides formal analyses for clock skew-based Intrusion Detection Systems (IDSs) that detect masquerade a…
Cloaking the Clock: Emulating Clock Skew in Controller Area Networks
Sang Uk Sagong, Xuhang Ying, Andrew Clark +2
Automobiles are equipped with Electronic Control Units (ECU) that communicate via in-vehicle network protocol standards such as Controller Area Network (CAN). These protocols are d…
No Free Charge Theorem: a Covert Channel via USB Charging Cable on Mobile Devices
Riccardo Spolaor, Laila Abudahi, Veelasha Moonsamy +2
More and more people are regularly using mobile and battery-powered handsets, such as smartphones and tablets. At the same time, thanks to the technological innovation and to the h…