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. 2003.08633
  4. Cited By
Backdooring and Poisoning Neural Networks with Image-Scaling Attacks

Backdooring and Poisoning Neural Networks with Image-Scaling Attacks

19 March 2020
Erwin Quiring
Konrad Rieck
    AAML
ArXivPDFHTML

Papers citing "Backdooring and Poisoning Neural Networks with Image-Scaling Attacks"

13 / 13 papers shown
Title
ChainMarks: Securing DNN Watermark with Cryptographic Chain
ChainMarks: Securing DNN Watermark with Cryptographic Chain
Brian Choi
Shu Wang
Isabelle Choi
Kun Sun
46
0
0
08 May 2025
Poisoning Web-Scale Training Datasets is Practical
Poisoning Web-Scale Training Datasets is Practical
Nicholas Carlini
Matthew Jagielski
Christopher A. Choquette-Choo
Daniel Paleka
Will Pearce
Hyrum S. Anderson
Andreas Terzis
Kurt Thomas
Florian Tramèr
SILM
31
182
0
20 Feb 2023
BDMMT: Backdoor Sample Detection for Language Models through Model
  Mutation Testing
BDMMT: Backdoor Sample Detection for Language Models through Model Mutation Testing
Jiali Wei
Ming Fan
Wenjing Jiao
Wuxia Jin
Ting Liu
AAML
29
10
0
25 Jan 2023
Understanding Impacts of Task Similarity on Backdoor Attack and
  Detection
Understanding Impacts of Task Similarity on Backdoor Attack and Detection
Di Tang
Rui Zhu
Xiaofeng Wang
Haixu Tang
Yi Chen
AAML
18
5
0
12 Oct 2022
Wild Networks: Exposure of 5G Network Infrastructures to Adversarial
  Examples
Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples
Giovanni Apruzzese
Rodion Vladimirov
A.T. Tastemirova
Pavel Laskov
AAML
30
15
0
04 Jul 2022
Enhancing Clean Label Backdoor Attack with Two-phase Specific Triggers
Enhancing Clean Label Backdoor Attack with Two-phase Specific Triggers
Nan Luo
Yuan-zhang Li
Yajie Wang
Shan-Hung Wu
Yu-an Tan
Quan-xin Zhang
AAML
12
11
0
10 Jun 2022
Backdooring Explainable Machine Learning
Backdooring Explainable Machine Learning
Maximilian Noppel
Lukas Peter
Christian Wressnegger
AAML
16
5
0
20 Apr 2022
Physical Backdoor Attacks to Lane Detection Systems in Autonomous
  Driving
Physical Backdoor Attacks to Lane Detection Systems in Autonomous Driving
Xingshuo Han
Guowen Xu
Yuanpu Zhou
Xuehuan Yang
Jiwei Li
Tianwei Zhang
AAML
30
43
0
02 Mar 2022
Hiding Behind Backdoors: Self-Obfuscation Against Generative Models
Hiding Behind Backdoors: Self-Obfuscation Against Generative Models
Siddhartha Datta
N. Shadbolt
SILM
AAML
AI4CE
25
2
0
24 Jan 2022
Quantization Backdoors to Deep Learning Commercial Frameworks
Quantization Backdoors to Deep Learning Commercial Frameworks
Hua Ma
Huming Qiu
Yansong Gao
Zhi-Li Zhang
A. Abuadbba
Minhui Xue
Anmin Fu
Jiliang Zhang
S. Al-Sarawi
Derek Abbott
MQ
38
19
0
20 Aug 2021
SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics
SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics
J. Hayase
Weihao Kong
Raghav Somani
Sewoong Oh
AAML
24
149
0
22 Apr 2021
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities
  in Machine Learning Systems
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems
Yue Gao
Ilia Shumailov
Kassem Fawaz
AAML
27
10
0
18 Apr 2021
Blind Backdoors in Deep Learning Models
Blind Backdoors in Deep Learning Models
Eugene Bagdasaryan
Vitaly Shmatikov
AAML
FedML
SILM
34
298
0
08 May 2020
1