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Planting Undetectable Backdoors in Machine Learning Models

Planting Undetectable Backdoors in Machine Learning Models

14 April 2022
S. Goldwasser
Michael P. Kim
Vinod Vaikuntanathan
Or Zamir
    AAML
ArXivPDFHTML

Papers citing "Planting Undetectable Backdoors in Machine Learning Models"

28 / 28 papers shown
Title
Unelicitable Backdoors in Language Models via Cryptographic Transformer Circuits
Unelicitable Backdoors in Language Models via Cryptographic Transformer Circuits
Andis Draguns
Andrew Gritsevskiy
S. Motwani
Charlie Rogers-Smith
Jeffrey Ladish
Christian Schroeder de Witt
106
2
0
03 Jun 2024
The Dimpled Manifold Model of Adversarial Examples in Machine Learning
The Dimpled Manifold Model of Adversarial Examples in Machine Learning
A. Shamir
Odelia Melamed
Oriel BenShmuel
AAML
49
50
0
18 Jun 2021
Spoofing Generalization: When Can't You Trust Proprietary Models?
Spoofing Generalization: When Can't You Trust Proprietary Models?
Ankur Moitra
Elchanan Mossel
Colin Sandon
FedML
38
2
0
15 Jun 2021
Handcrafted Backdoors in Deep Neural Networks
Handcrafted Backdoors in Deep Neural Networks
Sanghyun Hong
Nicholas Carlini
Alexey Kurakin
89
75
0
08 Jun 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
41
152
0
22 Apr 2021
Efficient Learning with Arbitrary Covariate Shift
Efficient Learning with Arbitrary Covariate Shift
Adam Kalai
Varun Kanade
35
7
0
15 Feb 2021
Indistinguishability Obfuscation from Well-Founded Assumptions
Indistinguishability Obfuscation from Well-Founded Assumptions
Aayush Jain
Huijia Lin
A. Sahai
27
198
0
21 Aug 2020
Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial
  Test Examples
Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples
S. Goldwasser
Adam Tauman Kalai
Y. Kalai
Omar Montasser
AAML
45
40
0
10 Jul 2020
Continuous LWE
Continuous LWE
Joan Bruna
O. Regev
M. Song
Yi Tang
31
50
0
19 May 2020
Adversarial Robustness Guarantees for Random Deep Neural Networks
Adversarial Robustness Guarantees for Random Deep Neural Networks
Giacomo De Palma
B. Kiani
S. Lloyd
AAML
OOD
44
8
0
13 Apr 2020
The Power of Comparisons for Actively Learning Linear Classifiers
The Power of Comparisons for Actively Learning Linear Classifiers
Max Hopkins
D. Kane
Shachar Lovett
26
20
0
08 Jul 2019
Provably Robust Deep Learning via Adversarially Trained Smoothed
  Classifiers
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers
Hadi Salman
Greg Yang
Jungshian Li
Pengchuan Zhang
Huan Zhang
Ilya P. Razenshteyn
Sébastien Bubeck
AAML
64
547
0
09 Jun 2019
Adversarially Robust Learning Could Leverage Computational Hardness
Adversarially Robust Learning Could Leverage Computational Hardness
Sanjam Garg
S. Jha
Saeed Mahloujifar
Mohammad Mahmoody
AAML
106
24
0
28 May 2019
Adversarial Examples Are Not Bugs, They Are Features
Adversarial Examples Are Not Bugs, They Are Features
Andrew Ilyas
Shibani Santurkar
Dimitris Tsipras
Logan Engstrom
Brandon Tran
Aleksander Madry
SILM
89
1,836
0
06 May 2019
Adversarial Training for Free!
Adversarial Training for Free!
Ali Shafahi
Mahyar Najibi
Amin Ghiasi
Zheng Xu
John P. Dickerson
Christoph Studer
L. Davis
Gavin Taylor
Tom Goldstein
AAML
125
1,245
0
29 Apr 2019
Optimal Average-Case Reductions to Sparse PCA: From Weak Assumptions to
  Strong Hardness
Optimal Average-Case Reductions to Sparse PCA: From Weak Assumptions to Strong Hardness
Matthew Brennan
Guy Bresler
46
50
0
20 Feb 2019
Certified Adversarial Robustness via Randomized Smoothing
Certified Adversarial Robustness via Randomized Smoothing
Jeremy M. Cohen
Elan Rosenfeld
J. Zico Kolter
AAML
130
2,028
0
08 Feb 2019
A Simple Explanation for the Existence of Adversarial Examples with
  Small Hamming Distance
A Simple Explanation for the Existence of Adversarial Examples with Small Hamming Distance
A. Shamir
Itay Safran
Eyal Ronen
O. Dunkelman
GAN
AAML
28
94
0
30 Jan 2019
Spectral Signatures in Backdoor Attacks
Spectral Signatures in Backdoor Attacks
Brandon Tran
Jerry Li
Aleksander Madry
AAML
85
784
0
01 Nov 2018
Adversarial Risk and Robustness: General Definitions and Implications
  for the Uniform Distribution
Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution
Dimitrios I. Diochnos
Saeed Mahloujifar
Mohammad Mahmoody
AAML
41
72
0
29 Oct 2018
Are adversarial examples inevitable?
Are adversarial examples inevitable?
Ali Shafahi
Wenjie Huang
Christoph Studer
Soheil Feizi
Tom Goldstein
SILM
53
282
0
06 Sep 2018
Adversarial examples from computational constraints
Adversarial examples from computational constraints
Sébastien Bubeck
Eric Price
Ilya P. Razenshteyn
AAML
89
230
0
25 May 2018
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks
  by Backdooring
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring
Yossi Adi
Carsten Baum
Moustapha Cissé
Benny Pinkas
Joseph Keshet
61
674
0
13 Feb 2018
Certified Defenses against Adversarial Examples
Certified Defenses against Adversarial Examples
Aditi Raghunathan
Jacob Steinhardt
Percy Liang
AAML
105
967
0
29 Jan 2018
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
Xinyun Chen
Chang-rui Liu
Yue Liu
Kimberly Lu
D. Song
AAML
SILM
108
1,833
0
15 Dec 2017
Provable defenses against adversarial examples via the convex outer
  adversarial polytope
Provable defenses against adversarial examples via the convex outer adversarial polytope
Eric Wong
J. Zico Kolter
AAML
98
1,498
0
02 Nov 2017
Statistical Query Lower Bounds for Robust Estimation of High-dimensional
  Gaussians and Gaussian Mixtures
Statistical Query Lower Bounds for Robust Estimation of High-dimensional Gaussians and Gaussian Mixtures
Ilias Diakonikolas
D. Kane
Alistair Stewart
57
232
0
10 Nov 2016
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
243
14,893
1
21 Dec 2013
1