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05/12/2023
Gotcha! I Know What You are Doing on the FPGA Cloud: Fingerprinting Co-Located Cloud FPGA Accelerators via Measuring Communication Links
In recent decades, due to the emerging requirements of computation accel...
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04/04/2023
Side Channel-Assisted Inference Leakage from Machine Learning-based ECG Classification
The Electrocardiogram (ECG) measures the electrical cardiac activity gen...
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09/13/2022
A Neural Network-based SAT-Resilient Obfuscation Towards Enhanced Logic Locking
Logic obfuscation is introduced as a pivotal defense against multiple ha...
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04/07/2022
Adaptive-Gravity: A Defense Against Adversarial Samples
This paper presents a novel model training solution, denoted as Adaptive...
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10/02/2021
Repttack: Exploiting Cloud Schedulers to Guide Co-Location Attacks
Cloud computing paradigms have emerged as a major facility to store and ...
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09/04/2020
NNgSAT: Neural Network guided SAT Attack on Logic Locked Complex Structures
The globalization of the IC supply chain has raised many security threat...
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09/04/2020
InterLock: An Intercorrelated Logic and Routing Locking
In this paper, we propose a canonical prune-and-SAT (CP SAT) attack fo...
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06/29/2020
Cluster-Based Partitioning of Convolutional Neural Networks, A Solution for Computational Energy and Complexity Reduction
In this paper, we propose a novel solution to reduce the computational c...
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06/26/2020
Learning Diverse Latent Representations for Improving the Resilience to Adversarial Attacks
This paper proposes an ensemble learning model that is resistant to adve...
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05/24/2020
SCRAMBLE: The State, Connectivity and Routing Augmentation Model for Building Logic Encryption
In this paper, we introduce SCRAMBLE, as a novel logic locking solution ...
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05/08/2020
On Designing Secure and Robust Scan Chain for Protecting Obfuscated Logic
In this paper, we assess the security and testability of the state-of-th...
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03/22/2020
Deep Multi-attributed Graph Translation with Node-Edge Co-evolution
Generalized from image and language translation, graph translation aims ...
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02/18/2020
DFSSD: Deep Faults and Shallow State Duality, A Provably Strong Obfuscation Solution for Circuits with Restricted Access to Scan Chain
In this paper, we introduce DFSSD, a novel logic locking solution for se...
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01/23/2020
SAT-hard Cyclic Logic Obfuscation for Protecting the IP in the Manufacturing Supply Chain
State-of-the-art attacks against cyclic logic obfuscation use satisfiabi...
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01/17/2020
LASCA: Learning Assisted Side Channel Delay Analysis for Hardware Trojan Detection
In this paper, we introduce a Learning Assisted Side Channel delay Analy...
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01/16/2020
Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks
In this paper, we propose Code-Bridged Classifier (CBC), a framework for...
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10/14/2019
TCD-NPE: A Re-configurable and Efficient Neural Processing Engine, Powered by Novel Temporal-Carry-deferring MACs
In this paper, we first propose the design of Temporal-Carry-deferring M...
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10/01/2019
NESTA: Hamming Weight Compression-Based Neural Proc. Engine
In this paper, we present NESTA, a specialized Neural engine that signif...
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09/01/2019
COMA: Communication and Obfuscation Management Architecture
In this paper, we introduce a novel Communication and Obfuscation Manage...
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08/22/2019
DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums
Online health communities such as the online breast cancer forum enable ...
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07/29/2019
Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design
The emergence of High-Level Synthesis (HLS) tools shifted the paradigm o...
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07/07/2019
Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification
Advances in embedded systems have enabled integration of many lightweigh...
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05/15/2019
Threats on Logic Locking: A Decade Later
To reduce the cost of ICs and to meet the market's demand, a considerabl...
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02/14/2019
Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning
Circuit obfuscation is a recently proposed defense mechanism to protect ...
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04/30/2018
Benchmarking the Capabilities and Limitations of SAT Solvers in Defeating Obfuscation Schemes
In this paper, we investigate the strength of six different SAT solvers ...
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04/30/2018
