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Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks

Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks

27 February 2023
Jialai Wang
Ziyuan Zhang
Meiqi Wang
Han Qiu
Tianwei Zhang
Qi Li
Zongpeng Li
Tao Wei
Chao Zhang
    AAML
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Papers citing "Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks"

12 / 12 papers shown
Title
NAPER: Fault Protection for Real-Time Resource-Constrained Deep Neural Networks
NAPER: Fault Protection for Real-Time Resource-Constrained Deep Neural Networks
Rian Adam Rajagede
M. Santriaji
Muhammad Arya Fikriansyah
Hilal Hudan Nuha
Yanjie Fu
Yan Solihin
AAML
31
0
0
09 Apr 2025
Hessian-aware Training for Enhancing DNNs Resilience to Parameter Corruptions
Hessian-aware Training for Enhancing DNNs Resilience to Parameter Corruptions
Tahmid Hasan Prato
Seijoon Kim
Lizhong Chen
Sanghyun Hong
AAML
35
0
0
02 Apr 2025
PrisonBreak: Jailbreaking Large Language Models with Fewer Than
  Twenty-Five Targeted Bit-flips
PrisonBreak: Jailbreaking Large Language Models with Fewer Than Twenty-Five Targeted Bit-flips
Zachary Coalson
Jeonghyun Woo
Shiyang Chen
Yu Sun
Lishan Yang
Prashant J. Nair
Bo Fang
Sanghyun Hong
AAML
79
2
0
10 Dec 2024
SoK: A Systems Perspective on Compound AI Threats and Countermeasures
SoK: A Systems Perspective on Compound AI Threats and Countermeasures
Sarbartha Banerjee
Prateek Sahu
Mulong Luo
Anjo Vahldiek-Oberwagner
N. Yadwadkar
Mohit Tiwari
AAML
74
0
0
20 Nov 2024
DeepNcode: Encoding-Based Protection against Bit-Flip Attacks on Neural
  Networks
DeepNcode: Encoding-Based Protection against Bit-Flip Attacks on Neural Networks
Patrik Velcický
J. Breier
Mladen Kovacevic
Xiaolu Hou
AAML
38
1
0
22 May 2024
Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language
  Model Systems
Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems
Tianyu Cui
Yanling Wang
Chuanpu Fu
Yong Xiao
Sijia Li
...
Junwu Xiong
Xinyu Kong
Zujie Wen
Ke Xu
Qi Li
57
56
0
11 Jan 2024
Defenses in Adversarial Machine Learning: A Survey
Defenses in Adversarial Machine Learning: A Survey
Baoyuan Wu
Shaokui Wei
Mingli Zhu
Meixi Zheng
Zihao Zhu
Mingda Zhang
Hongrui Chen
Danni Yuan
Li Liu
Qingshan Liu
AAML
30
14
0
13 Dec 2023
Securing Graph Neural Networks in MLaaS: A Comprehensive Realization of
  Query-based Integrity Verification
Securing Graph Neural Networks in MLaaS: A Comprehensive Realization of Query-based Integrity Verification
Bang Wu
Xingliang Yuan
Shuo Wang
Qi Li
Minhui Xue
Shirui Pan
21
8
0
13 Dec 2023
Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Lehman Go
  Indifferent
Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Lehman Go Indifferent
Lorenz Kummer
Samir Moustafa
Nils N. Kriege
Wilfried N. Gansterer
GNN
AAML
27
0
0
02 Nov 2023
DNN-Defender: An in-DRAM Deep Neural Network Defense Mechanism for
  Adversarial Weight Attack
DNN-Defender: An in-DRAM Deep Neural Network Defense Mechanism for Adversarial Weight Attack
Ranyang Zhou
Sabbir Ahmed
Adnan Siraj Rakin
Shaahin Angizi
AAML
13
1
0
14 May 2023
Clean-Label Backdoor Attacks on Video Recognition Models
Clean-Label Backdoor Attacks on Video Recognition Models
Shihao Zhao
Xingjun Ma
Xiang Zheng
James Bailey
Jingjing Chen
Yu-Gang Jiang
AAML
188
274
0
06 Mar 2020
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,194
0
01 Sep 2014
1