ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2411.03022
  4. Cited By
Flashy Backdoor: Real-world Environment Backdoor Attack on SNNs with DVS
  Cameras

Flashy Backdoor: Real-world Environment Backdoor Attack on SNNs with DVS Cameras

5 November 2024
Roberto Riaño
Gorka Abad
S. Picek
A. Urbieta
    AAML
ArXiv (abs)PDFHTML

Papers citing "Flashy Backdoor: Real-world Environment Backdoor Attack on SNNs with DVS Cameras"

33 / 33 papers shown
Title
Time-Distributed Backdoor Attacks on Federated Spiking Learning
Time-Distributed Backdoor Attacks on Federated Spiking Learning
Gorka Abad
S. Picek
A. Urbieta
AAMLFedML
93
2
0
05 Feb 2024
Detecting Respiratory Pathologies Using Convolutional Neural Networks
  and Variational Autoencoders for Unbalancing Data
Detecting Respiratory Pathologies Using Convolutional Neural Networks and Variational Autoencoders for Unbalancing Data
María Teresa García-Ordás
J. Benítez-Andrades
Isaías García-Rodríguez
Carmen Benavides
H. Alaiz-Moretón
DRL
36
89
0
03 Feb 2024
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds
Hejia Geng
Peng Li
AAML
105
3
0
20 Aug 2023
Real-Time Fully Unsupervised Domain Adaptation for Lane Detection in
  Autonomous Driving
Real-Time Fully Unsupervised Domain Adaptation for Lane Detection in Autonomous Driving
K. Bhardwaj
Zishen Wan
A. Raychowdhury
R. Goldhahn
36
5
0
29 Jun 2023
Adversarial Defense via Neural Oscillation inspired Gradient Masking
Adversarial Defense via Neural Oscillation inspired Gradient Masking
Chunming Jiang
Yilei Zhang
AAML
61
2
0
04 Nov 2022
Semantic Segmentation for Autonomous Driving: Model Evaluation, Dataset
  Generation, Perspective Comparison, and Real-Time Capability
Semantic Segmentation for Autonomous Driving: Model Evaluation, Dataset Generation, Perspective Comparison, and Real-Time Capability
Senay Cakir
Marcel Gauss
Kai Häppeler
Yassine Ounajjar
Fabian Heinle
Reiner Marchthaler
47
12
0
26 Jul 2022
Temporal Efficient Training of Spiking Neural Network via Gradient
  Re-weighting
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting
Shi-Wee Deng
Yuhang Li
Shanghang Zhang
Shi Gu
205
256
0
24 Feb 2022
A Survey on Poisoning Attacks Against Supervised Machine Learning
A Survey on Poisoning Attacks Against Supervised Machine Learning
Wenjun Qiu
AAML
58
9
0
05 Feb 2022
Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial
  Examples Against Traffic Sign Recognition Systems
Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition Systems
Wei Jia
Zhaojun Lu
Haichun Zhang
Zhenglin Liu
Jie Wang
Gang Qu
AAML
55
53
0
17 Jan 2022
Adversarial Attacks on Spiking Convolutional Neural Networks for
  Event-based Vision
Adversarial Attacks on Spiking Convolutional Neural Networks for Event-based Vision
Julian Buchel
Gregor Lenz
Yalun Hu
Sadique Sheik
M. Sorbaro
AAML
67
15
0
06 Oct 2021
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking
  Neural Networks
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks
Alberto Marchisio
Giacomo Pira
Maurizio Martina
Guido Masera
Mohamed Bennai
AAML
83
31
0
01 Jul 2021
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep
  Spiking Neural Networks
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks
Jianhao Ding
Zhaofei Yu
Yonghong Tian
Tiejun Huang
85
157
0
25 May 2021
Carbon Emissions and Large Neural Network Training
Carbon Emissions and Large Neural Network Training
David A. Patterson
Joseph E. Gonzalez
Quoc V. Le
Chen Liang
Lluís-Miquel Munguía
D. Rothchild
David R. So
Maud Texier
J. Dean
AI4CE
337
680
0
21 Apr 2021
Efficient Large-Scale Language Model Training on GPU Clusters Using
  Megatron-LM
Efficient Large-Scale Language Model Training on GPU Clusters Using Megatron-LM
Deepak Narayanan
Mohammad Shoeybi
Jared Casper
P. LeGresley
M. Patwary
...
Prethvi Kashinkunti
J. Bernauer
Bryan Catanzaro
Amar Phanishayee
Matei A. Zaharia
MoE
122
699
0
09 Apr 2021
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine
  Learning Models
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
Yugeng Liu
Rui Wen
Xinlei He
A. Salem
Zhikun Zhang
Michael Backes
Emiliano De Cristofaro
Mario Fritz
Yang Zhang
AAML
77
132
0
04 Feb 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao
Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
...
Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
Connor Leahy
AIMat
475
2,120
0
31 Dec 2020
Backdoor Learning: A Survey
Backdoor Learning: A Survey
Yiming Li
Yong Jiang
Zhifeng Li
Shutao Xia
AAML
137
608
0
17 Jul 2020
Incorporating Learnable Membrane Time Constant to Enhance Learning of
  Spiking Neural Networks
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks
Wei Fang
Zhaofei Yu
Yanqing Chen
T. Masquelier
Tiejun Huang
Yonghong Tian
155
530
0
11 Jul 2020
NeuroAttack: Undermining Spiking Neural Networks Security through
  Externally Triggered Bit-Flips
NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips
Valerio Venceslai
Alberto Marchisio
Ihsen Alouani
Maurizio Martina
Mohamed Bennai
AAML
48
34
0
16 May 2020
Blind Backdoors in Deep Learning Models
Blind Backdoors in Deep Learning Models
Eugene Bagdasaryan
Vitaly Shmatikov
AAMLFedMLSILM
122
305
0
08 May 2020
Exploring Adversarial Attack in Spiking Neural Networks with
  Spike-Compatible Gradient
Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient
Ling Liang
Xing Hu
Lei Deng
Yujie Wu
Guoqi Li
Yufei Ding
Peng Li
Yuan Xie
AAML
99
63
0
01 Jan 2020
Label-Consistent Backdoor Attacks
Label-Consistent Backdoor Attacks
Alexander Turner
Dimitris Tsipras
Aleksander Madry
AAML
74
389
0
05 Dec 2019
Graph-Based Object Classification for Neuromorphic Vision Sensing
Graph-Based Object Classification for Neuromorphic Vision Sensing
Yin Bi
Aaron Chadha
Alhabib Abbas
Eirina Bourtsoulatze
Y. Andreopoulos
GNN
58
166
0
19 Aug 2019
Malware Evasion Attack and Defense
Malware Evasion Attack and Defense
Yonghong Huang
Utkarsh Verma
Celeste Fralick
G. Infante-Lopez
B. Kumar
Carl Woodward
AAML
47
16
0
07 Apr 2019
Surrogate Gradient Learning in Spiking Neural Networks
Surrogate Gradient Learning in Spiking Neural Networks
Emre Neftci
Hesham Mostafa
Friedemann Zenke
99
1,240
0
28 Jan 2019
Backdooring Convolutional Neural Networks via Targeted Weight
  Perturbations
Backdooring Convolutional Neural Networks via Targeted Weight Perturbations
Jacob Dumford
Walter J. Scheirer
AAML
71
120
0
07 Dec 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,175
0
11 Oct 2018
The Multi Vehicle Stereo Event Camera Dataset: An Event Camera Dataset
  for 3D Perception
The Multi Vehicle Stereo Event Camera Dataset: An Event Camera Dataset for 3D Perception
A. Z. Zhu
Dinesh Thakur
Tolga Özaslan
Bernd Pfrommer
Vijay Kumar
Kostas Daniilidis
3DV3DPC
61
470
0
30 Jan 2018
Ultimate SLAM? Combining Events, Images, and IMU for Robust Visual SLAM
  in HDR and High Speed Scenarios
Ultimate SLAM? Combining Events, Images, and IMU for Robust Visual SLAM in HDR and High Speed Scenarios
Antoni Rosinol Vidal
Henri Rebecq
Timo Horstschaefer
Davide Scaramuzza
58
445
0
19 Sep 2017
Training Deep Spiking Neural Networks using Backpropagation
Training Deep Spiking Neural Networks using Backpropagation
Junhaeng Lee
T. Delbruck
Michael Pfeiffer
92
946
0
31 Aug 2016
Pruning Filters for Efficient ConvNets
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
195
3,705
0
31 Aug 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
263
8,859
0
01 Oct 2015
Speech Recognition with Deep Recurrent Neural Networks
Speech Recognition with Deep Recurrent Neural Networks
Alex Graves
Abdel-rahman Mohamed
Geoffrey E. Hinton
230
8,526
0
22 Mar 2013
1