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Black Box to White Box: Discover Model Characteristics Based on
  Strategic Probing

Black Box to White Box: Discover Model Characteristics Based on Strategic Probing

7 September 2020
Josh Kalin
Matthew Ciolino
David Noever
Gerry V. Dozier
    AAML
ArXiv (abs)PDFHTML

Papers citing "Black Box to White Box: Discover Model Characteristics Based on Strategic Probing"

6 / 6 papers shown
Title
Improving compute efficacy frontiers with SliceOut
Improving compute efficacy frontiers with SliceOut
Pascal Notin
Aidan Gomez
Joanna Yoo
Y. Gal
21
1
0
21 Jul 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
892
42,463
0
28 May 2020
Train Large, Then Compress: Rethinking Model Size for Efficient Training
  and Inference of Transformers
Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers
Zhuohan Li
Eric Wallace
Sheng Shen
Kevin Lin
Kurt Keutzer
Dan Klein
Joseph E. Gonzalez
115
151
0
26 Feb 2020
A Survey of Black-Box Adversarial Attacks on Computer Vision Models
A Survey of Black-Box Adversarial Attacks on Computer Vision Models
Siddhant Bhambri
Sumanyu Muku
Avinash Tulasi
Arun Balaji Buduru
AAMLVLM
63
79
0
03 Dec 2019
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and
  lighter
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Victor Sanh
Lysandre Debut
Julien Chaumond
Thomas Wolf
262
7,554
0
02 Oct 2019
Adversarial Attacks and Defences: A Survey
Adversarial Attacks and Defences: A Survey
Anirban Chakraborty
Manaar Alam
Vishal Dey
Anupam Chattopadhyay
Debdeep Mukhopadhyay
AAMLOOD
89
683
0
28 Sep 2018
1