Adnan Siraj Rakin

发表

Defending Bit-Flip Attack through DNN Weight Reconstruction

Yan Xiong, Deliang Fan, Zhezhi He, 2020, 2020 57th ACM/IEEE Design Automation Conference (DAC).

Robust Pre-Processing: A Robust Defense Method Against Adversary Attack

Deliang Fan, Boqing Gong, Zhezhi He, 2018 .

Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack

Chaitali Chakrabarti, Deliang Fan, Jingtao Li, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips

Fan Yao, Deliang Fan, Adnan Siraj Rakin, 2020, USENIX Security Symposium.

Robust Machine Learning via Privacy/Rate-Distortion Theory pdf

Ye Wang, Toshiaki Koike-Akino, Pierre Moulin, 2020, ArXiv.

Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack

Deliang Fan, Zhezhi He, Adnan Siraj Rakin, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Defend Deep Neural Networks Against Adversarial Examples via Fixed andDynamic Quantized Activation Functions pdf

Jinfeng Yi, Deliang Fan, Boqing Gong, 2018, ArXiv.

T-BFA: Targeted Bit-Flip Adversarial Weight Attack pdf

Fan Yao, Deliang Fan, Zhezhi He, 2020, ArXiv.

DA2: Deep Attention Adapter for Memory-EfficientOn-Device Multi-Domain Learning pdf

Deliang Fan, Li Yang, Adnan Siraj Rakin, 2020, ArXiv.

Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA pdf

Deliang Fan, Adnan Siraj Rakin, Yukui Luo, 2020, ArXiv.

Defense-Net: Defend Against a Wide Range of Adversarial Attacks through Adversarial Detector

Deliang Fan, Adnan Siraj Rakin, 2019, 2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI).

BD-NET: A Multiplication-Less DNN with Binarized Depthwise Separable Convolution

Shaahin Angizi, Deliang Fan, Zhezhi He, 2018, 2018 IEEE Computer Society Annual Symposium on VLSI (ISVLSI).

Robust Sparse Regularization: Defending Adversarial Attacks Via Regularized Sparse Network

Yanzhi Wang, Deliang Fan, Zhezhi He, 2020, ACM Great Lakes Symposium on VLSI.

CMP-PIM: An Energy-Efficient Comparator-based Processing-In-Memory Neural Network Accelerator

Shaahin Angizi, Deliang Fan, Zhezhi He, 2018, 2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC).

Blind Pre-Processing: A Robust Defense Method Against Adversarial Examples pdf

Deliang Fan, Boqing Gong, Zhezhi He, 2018, ArXiv.

Development of a Novel Method for Automatic Detection of Musical Chords

Adnan Siraj Rakin, Samin Yaseer Mahmud, Farjana Snigdha, 2018 .

Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness pdf

Li Yang, Yanzhi Wang, Deliang Fan, 2019, ArXiv.

TBT: Targeted Neural Network Attack With Bit Trojan

Deliang Fan, Zhezhi He, Adnan Siraj Rakin, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery pdf

Deliang Fan, Zhezhi He, Chaitali Chakrabarti, 2021, 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE).

CMP-PIM: An Energy-Efficient Comparator-based Processing-In-Memory Neural Network Accelerator

Shaahin Angizi, Deliang Fan, Zhezhi He, 2018, Design Automation Conference.

Bit-Flip Attack: Crushing Neural Network With Progressive Bit Search

Deliang Fan, Zhezhi He, Adnan Siraj Rakin, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

PIM-TGAN: A Processing-in-Memory Accelerator for Ternary Generative Adversarial Networks

Shaahin Angizi, Deliang Fan, Zhezhi He, 2018, 2018 IEEE 36th International Conference on Computer Design (ICCD).

Sparse BD-Net

Li Yang, Shaahin Angizi, Deliang Fan, 2020, ACM J. Emerg. Technol. Comput. Syst..

Leveraging Noise and Aggressive Quantization of In-Memory Computing for Robust DNN Hardware Against Adversarial Input and Weight Attacks

Jae-sun Seo, Mingoo Seok, Deliang Fan, 2021, 2021 58th ACM/IEEE Design Automation Conference (DAC).

Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA

Xiaolin Xu, Deliang Fan, Adnan Siraj Rakin, 2020, USENIX Security Symposium.

RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy pdf

Chaitali Chakrabarti, Jae-sun Seo, Deliang Fan, 2021, ArXiv.

Towards Universal Adversarial Examples and Defenses

Ye Wang, Pierre Moulin, Toshiaki Koike-Akino, 2021, 2021 IEEE Information Theory Workshop (ITW).

NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing pdf

Chaitali Chakrabarti, Deliang Fan, Adnan Siraj Rakin, 2021, 2021 IEEE International Symposium on Hardware Oriented Security and Trust (HOST).

DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories pdf

Deliang Fan, Adnan Siraj Rakin, Md Hafizul Islam Chowdhuryy, 2021, 2022 IEEE Symposium on Security and Privacy (SP).

Robust Machine Learning via Privacy/ Rate-Distortion Theory

Pierre Moulin, Toshiaki Koike-Akino, Shuchin Aeron, 2021, 2021 IEEE International Symposium on Information Theory (ISIT).

Double Walled Carbon Nanotube Simulator to Achieve Higher Accuracy in Finding Optical and Electrical Properties of the Tubes

Adnan Siraj Rakin, Sharif Md. Mominuzzaman, 2016 .

Low loss and flat dispersion Kagome photonic crystal fiber in the terahertz regime

Derek Abbott, Harish Subbaraman, Md. Rabiul Hasan, 2018 .