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CROP: Certifying Robust Policies for Reinforcement Learning through
  Functional Smoothing

CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing

17 June 2021
Fan Wu
Linyi Li
Zijian Huang
Yevgeniy Vorobeychik
Ding Zhao
Bo-wen Li
    AAML
    OffRL
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Papers citing "CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing"

15 / 15 papers shown
Title
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks
Nicholas H. Barbara
Ruigang Wang
I. Manchester
37
4
0
19 May 2024
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off
Yatong Bai
Brendon G. Anderson
Somayeh Sojoudi
AAML
24
2
0
26 Nov 2023
Certifying LLM Safety against Adversarial Prompting
Certifying LLM Safety against Adversarial Prompting
Aounon Kumar
Chirag Agarwal
Suraj Srinivas
Aaron Jiaxun Li
S. Feizi
Himabindu Lakkaraju
AAML
27
164
0
06 Sep 2023
Provable Robustness for Streaming Models with a Sliding Window
Provable Robustness for Streaming Models with a Sliding Window
Aounon Kumar
Vinu Sankar Sadasivan
S. Feizi
OOD
AAML
AI4TS
16
1
0
28 Mar 2023
Implicit Poisoning Attacks in Two-Agent Reinforcement Learning:
  Adversarial Policies for Training-Time Attacks
Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks
Mohammad Mohammadi
Jonathan Nöther
Debmalya Mandal
Adish Singla
Goran Radanović
AAML
OffRL
29
9
0
27 Feb 2023
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent
  Reinforcement Learning
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning
Maxwell Standen
Junae Kim
Claudia Szabo
AAML
29
5
0
11 Jan 2023
Confidence-aware Training of Smoothed Classifiers for Certified
  Robustness
Confidence-aware Training of Smoothed Classifiers for Certified Robustness
Jongheon Jeong
Seojin Kim
Jinwoo Shin
AAML
21
7
0
18 Dec 2022
Efficient Adversarial Training without Attacking: Worst-Case-Aware
  Robust Reinforcement Learning
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning
Yongyuan Liang
Yanchao Sun
Ruijie Zheng
Furong Huang
OOD
AAML
OffRL
25
47
0
12 Oct 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities:
  Robustness, Safety, and Generalizability
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability
Mengdi Xu
Zuxin Liu
Peide Huang
Wenhao Ding
Zhepeng Cen
Bo-wen Li
Ding Zhao
74
45
0
16 Sep 2022
Certifiably Robust Policy Learning against Adversarial Communication in
  Multi-agent Systems
Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems
Yanchao Sun
Ruijie Zheng
Parisa Hassanzadeh
Yongyuan Liang
S. Feizi
Sumitra Ganesh
Furong Huang
AAML
28
10
0
21 Jun 2022
COPA: Certifying Robust Policies for Offline Reinforcement Learning
  against Poisoning Attacks
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks
Fan Wu
Linyi Li
Chejian Xu
Huan Zhang
B. Kailkhura
K. Kenthapadi
Ding Zhao
Bo-wen Li
AAML
OffRL
24
34
0
16 Mar 2022
Robust Reinforcement Learning on State Observations with Learned Optimal
  Adversary
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary
Huan Zhang
Hongge Chen
Duane S. Boning
Cho-Jui Hsieh
64
162
0
21 Jan 2021
SoK: Certified Robustness for Deep Neural Networks
SoK: Certified Robustness for Deep Neural Networks
Linyi Li
Tao Xie
Bo-wen Li
AAML
30
128
0
09 Sep 2020
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
234
1,837
0
03 Feb 2017
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
273
3,110
0
04 Nov 2016
1