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Have You Poisoned My Data? Defending Neural Networks against Data
  Poisoning

Have You Poisoned My Data? Defending Neural Networks against Data Poisoning

20 March 2024
Fabio De Gaspari
Dorjan Hitaj
Luigi V. Mancini
    AAMLTDI
ArXiv (abs)PDFHTML

Papers citing "Have You Poisoned My Data? Defending Neural Networks against Data Poisoning"

15 / 15 papers shown
Title
Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem
Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem
Dorjan Hitaj
Giulio Pagnotta
Fabio De Gaspari
Sediola Ruko
Briland Hitaj
Luigi V. Mancini
Fernando Perez-Cruz
90
6
0
06 Mar 2024
Minerva: A File-Based Ransomware Detector
Minerva: A File-Based Ransomware Detector
Dorjan Hitaj
Giulio Pagnotta
Fabio De Gaspari
Lorenzo De Carli
L. Mancini
AAML
62
9
0
26 Jan 2023
Not All Poisons are Created Equal: Robust Training against Data
  Poisoning
Not All Poisons are Created Equal: Robust Training against Data Poisoning
Yu Yang
Tianwei Liu
Baharan Mirzasoleiman
AAML
47
38
0
18 Oct 2022
FedComm: Federated Learning as a Medium for Covert Communication
FedComm: Federated Learning as a Medium for Covert Communication
Dorjan Hitaj
Giulio Pagnotta
Briland Hitaj
Fernando Perez-Cruz
L. Mancini
FedML
66
11
0
21 Jan 2022
Anti-Backdoor Learning: Training Clean Models on Poisoned Data
Anti-Backdoor Learning: Training Clean Models on Poisoned Data
Yige Li
X. Lyu
Nodens Koren
Lingjuan Lyu
Yue Liu
Xingjun Ma
OnRL
80
334
0
22 Oct 2021
What Doesn't Kill You Makes You Robust(er): How to Adversarially Train
  against Data Poisoning
What Doesn't Kill You Makes You Robust(er): How to Adversarially Train against Data Poisoning
Jonas Geiping
Liam H. Fowl
Gowthami Somepalli
Micah Goldblum
Michael Moeller
Tom Goldstein
TDIAAMLSILM
39
41
0
26 Feb 2021
Input-Aware Dynamic Backdoor Attack
Input-Aware Dynamic Backdoor Attack
A. Nguyen
Anh Tran
AAML
74
431
0
16 Oct 2020
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching
Jonas Geiping
Liam H. Fowl
Wenjie Huang
W. Czaja
Gavin Taylor
Michael Moeller
Tom Goldstein
AAML
87
220
0
04 Sep 2020
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and
  Data Poisoning Attacks
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks
Avi Schwarzschild
Micah Goldblum
Arjun Gupta
John P. Dickerson
Tom Goldstein
AAMLTDI
90
164
0
22 Jun 2020
Bullseye Polytope: A Scalable Clean-Label Poisoning Attack with Improved
  Transferability
Bullseye Polytope: A Scalable Clean-Label Poisoning Attack with Improved Transferability
H. Aghakhani
Dongyu Meng
Yu-Xiang Wang
Christopher Kruegel
Giovanni Vigna
AAML
71
104
0
01 May 2020
On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient
  Shaping
On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping
Sanghyun Hong
Varun Chandrasekaran
Yigitcan Kaya
Tudor Dumitras
Nicolas Papernot
AAML
82
136
0
26 Feb 2020
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion
Hongxu Yin
Pavlo Molchanov
Zhizhong Li
J. Álvarez
Arun Mallya
Derek Hoiem
N. Jha
Jan Kautz
69
569
0
18 Dec 2019
Bypassing Backdoor Detection Algorithms in Deep Learning
Bypassing Backdoor Detection Algorithms in Deep Learning
T. Tan
Reza Shokri
FedMLAAML
87
152
0
31 May 2019
Label Sanitization against Label Flipping Poisoning Attacks
Label Sanitization against Label Flipping Poisoning Attacks
Andrea Paudice
Luis Muñoz-González
Emil C. Lupu
AAML
48
162
0
02 Mar 2018
Certified Defenses for Data Poisoning Attacks
Certified Defenses for Data Poisoning Attacks
Jacob Steinhardt
Pang Wei Koh
Percy Liang
AAML
108
756
0
09 Jun 2017
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