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Low-Loss Subspace Compression for Clean Gains against Multi-Agent
  Backdoor Attacks

Low-Loss Subspace Compression for Clean Gains against Multi-Agent Backdoor Attacks

7 March 2022
Siddhartha Datta
N. Shadbolt
    AAML
ArXivPDFHTML

Papers citing "Low-Loss Subspace Compression for Clean Gains against Multi-Agent Backdoor Attacks"

7 / 7 papers shown
Title
Projected Subnetworks Scale Adaptation
Projected Subnetworks Scale Adaptation
Siddhartha Datta
N. Shadbolt
VLM
CLL
28
0
0
27 Jan 2023
Cross-Reality Re-Rendering: Manipulating between Digital and Physical
  Realities
Cross-Reality Re-Rendering: Manipulating between Digital and Physical Realities
Siddhartha Datta
33
0
0
15 Nov 2022
Interpolating Compressed Parameter Subspaces
Interpolating Compressed Parameter Subspaces
Siddhartha Datta
N. Shadbolt
37
5
0
19 May 2022
Learn2Weight: Parameter Adaptation against Similar-domain Adversarial
  Attacks
Learn2Weight: Parameter Adaptation against Similar-domain Adversarial Attacks
Siddhartha Datta
AAML
34
4
0
15 May 2022
GreaseVision: Rewriting the Rules of the Interface
GreaseVision: Rewriting the Rules of the Interface
Siddhartha Datta
Konrad Kollnig
N. Shadbolt
28
5
0
07 Apr 2022
Backdoors Stuck At The Frontdoor: Multi-Agent Backdoor Attacks That
  Backfire
Backdoors Stuck At The Frontdoor: Multi-Agent Backdoor Attacks That Backfire
Siddhartha Datta
N. Shadbolt
AAML
32
7
0
28 Jan 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
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