From f360077e2244bbe9bca487ee83e16f7985d57160 Mon Sep 17 00:00:00 2001
From: Pat Alt <55311242+pat-alt@users.noreply.github.com>
Date: Wed, 24 May 2023 09:13:56 +0200
Subject: [PATCH] anonymized further
---
CITATION.bib | 2 +-
Manifest.toml | 10 +++++-----
Project.toml | 2 +-
_quarto.yml | 2 +-
bib.bib | 2 +-
docs/index.html | 4 ++--
index.html | 4 ++--
paper/bib.bib | 2 +-
paper/feedback.md | 2 --
paper/paper.pdf | Bin 1940674 -> 1940674 bytes
paper/paper.tex | 29 ++++++++++------------------
paper/submission.md | 45 --------------------------------------------
12 files changed, 24 insertions(+), 80 deletions(-)
delete mode 100644 paper/feedback.md
delete mode 100644 paper/submission.md
diff --git a/CITATION.bib b/CITATION.bib
index 860cec36..76070b11 100644
--- a/CITATION.bib
+++ b/CITATION.bib
@@ -1,5 +1,5 @@
@misc{ECCCo.jl,
- author = {Patrick Altmeyer},
+ author = {Anonymous Author},
title = {ECCCo.jl},
url = {https://github.com/pat-alt/ECCCo.jl},
version = {v0.1.0},
diff --git a/Manifest.toml b/Manifest.toml
index 24c05bc2..f618952a 100644
--- a/Manifest.toml
+++ b/Manifest.toml
@@ -293,9 +293,9 @@ version = "2.2.0"
[[deps.ConformalPrediction]]
deps = ["CategoricalArrays", "ChainRules", "Flux", "LinearAlgebra", "MLJBase", "MLJEnsembles", "MLJFlux", "MLJModelInterface", "MLUtils", "NaturalSort", "Plots", "StatsBase"]
-path = "../ConformalPrediction.jl"
+git-tree-sha1 = "f8d2ceaab5b07b49fb3aa817b61d6bf422fbfaa3"
uuid = "98bfc277-1877-43dc-819b-a3e38c30242f"
-version = "0.1.6"
+version = "0.1.7"
[[deps.ConstructionBase]]
deps = ["LinearAlgebra"]
@@ -315,10 +315,10 @@ uuid = "d38c429a-6771-53c6-b99e-75d170b6e991"
version = "0.6.2"
[[deps.CounterfactualExplanations]]
-deps = ["CSV", "CUDA", "CategoricalArrays", "ChainRulesCore", "DataFrames", "Flux", "LaplaceRedux", "LazyArtifacts", "LinearAlgebra", "MLDatasets", "MLJBase", "MLJModels", "MLUtils", "MultivariateStats", "NearestNeighborModels", "Parameters", "PkgTemplates", "Plots", "ProgressMeter", "Random", "Serialization", "SliceMap", "SnoopPrecompile", "Statistics", "StatsBase", "Tables", "UMAP"]
-path = "../CounterfactualExplanations.jl"
+deps = ["CSV", "CUDA", "CategoricalArrays", "ChainRulesCore", "DataFrames", "Flux", "LaplaceRedux", "LazyArtifacts", "LinearAlgebra", "MLDatasets", "MLJBase", "MLJModels", "MLUtils", "MultivariateStats", "NearestNeighborModels", "Parameters", "Plots", "ProgressMeter", "Random", "Serialization", "SliceMap", "SnoopPrecompile", "Statistics", "StatsBase", "Tables", "UMAP"]
+git-tree-sha1 = "85c5bd5baf7b797217272f12d257423bc1e3f029"
uuid = "2f13d31b-18db-44c1-bc43-ebaf2cff0be0"
-version = "0.1.10"
+version = "0.1.11"
[[deps.Crayons]]
git-tree-sha1 = "249fe38abf76d48563e2f4556bebd215aa317e15"
diff --git a/Project.toml b/Project.toml
index 0d31db08..b25250f6 100644
--- a/Project.toml
+++ b/Project.toml
@@ -1,6 +1,6 @@
name = "ECCCo"
uuid = "0232c203-4013-4b0d-ad96-43e3e11ac3bf"
-authors = ["Patrick Altmeyer"]
+authors = ["Anonymous Author"]
version = "0.1.0"
[deps]
diff --git a/_quarto.yml b/_quarto.yml
index 81579853..0127d30e 100644
--- a/_quarto.yml
+++ b/_quarto.yml
@@ -6,7 +6,7 @@ project:
book:
title: "Conformal Counterfactual Explanations"
subtitle: "Online Companion"
- author: "Patrick Altmeyer"
+ author: "Anonymous Author"
date: today
chapters:
- index.qmd
diff --git a/bib.bib b/bib.bib
index 2941aca0..daed3cba 100644
--- a/bib.bib
+++ b/bib.bib
@@ -51,7 +51,7 @@
%% This BibTeX bibliography file was created using BibDesk.
%% https://bibdesk.sourceforge.io/
-%% Created for Patrick Altmeyer at 2022-12-13 12:58:22 +0100
+%% Created for Anonymous Author at 2022-12-13 12:58:22 +0100
%% Saved with string encoding Unicode (UTF-8)
diff --git a/docs/index.html b/docs/index.html
index d57810dc..e7353ea4 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -6,7 +6,7 @@
<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
-<meta name="author" content="Patrick Altmeyer">
+<meta name="author" content="Anonymous Author">
<meta name="dcterms.date" content="2023-04-05">
<title>Conformal Counterfactual Explanations</title>
@@ -148,7 +148,7 @@ ul.task-list li input[type="checkbox"] {
<div>
<div class="quarto-title-meta-heading">Author</div>
<div class="quarto-title-meta-contents">
- <p>Patrick Altmeyer </p>
+ <p>Anonymous Author </p>
</div>
</div>
diff --git a/index.html b/index.html
index b0db579c..808e0532 100644
--- a/index.html
+++ b/index.html
@@ -6,7 +6,7 @@
<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
-<meta name="author" content="Patrick Altmeyer">
+<meta name="author" content="Anonymous Author">
<meta name="dcterms.date" content="2023-04-06">
<title>Conformal Counterfactual Explanations</title>
@@ -148,7 +148,7 @@ ul.task-list li input[type="checkbox"] {
<div>
<div class="quarto-title-meta-heading">Author</div>
<div class="quarto-title-meta-contents">
- <p>Patrick Altmeyer </p>
+ <p>Anonymous Author </p>
</div>
</div>
diff --git a/paper/bib.bib b/paper/bib.bib
index 2941aca0..daed3cba 100644
--- a/paper/bib.bib
+++ b/paper/bib.bib
@@ -51,7 +51,7 @@
%% This BibTeX bibliography file was created using BibDesk.
%% https://bibdesk.sourceforge.io/
-%% Created for Patrick Altmeyer at 2022-12-13 12:58:22 +0100
+%% Created for Anonymous Author at 2022-12-13 12:58:22 +0100
%% Saved with string encoding Unicode (UTF-8)
diff --git a/paper/feedback.md b/paper/feedback.md
deleted file mode 100644
index 6a8fb00d..00000000
--- a/paper/feedback.md
+++ /dev/null
@@ -1,2 +0,0 @@
-- don't understand why last two paragraphs of the results section are scratched through, they seem important to me
--
\ No newline at end of file
diff --git a/paper/paper.pdf b/paper/paper.pdf
index b909cd11b9d06b6090579817c466b1b87853bc53..ff97640153419adbc346ad33dedef9f984346f65 100644
GIT binary patch
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diff --git a/paper/paper.tex b/paper/paper.tex
index 08ac7b97..58c9610b 100644
--- a/paper/paper.tex
+++ b/paper/paper.tex
@@ -69,26 +69,17 @@ Energy-Constrained Conformal Counterfactuals}
\author{%
- Patrick Altmeyer\thanks{See also: https://www.paltmeyer.com/} \\
- Faculty of Electrical Engineering, Mathematics and Computer Science\\
- Delft University of Technology\\
- 2628 XE Delft, The Netherlands \\
- \texttt{p.altmeyer@tudelft.nl} \\
+ Anonymous Author\thanks{See also: } \\
+ Faculty \\
+ University \\
+ Address \\
+ \texttt{email} \\
\And
- Mojtaba Farmanbar \\
- ING Netherlands \\
- 1102 CT Amsterdam, The Netherlands \\
- \texttt{mojtaba.farmanbar@ing.com} \\
- \AND
- Arie van Deursen \\
- Delft University of Technology\\
- 2628 XE Delft, The Netherlands \\
- \texttt{arie.vandeursen@tudelft.nl} \\
- \And
- Cynthia C. S. Liem \\
- Delft University of Technology\\
- 2628 XE Delft, The Netherlands \\
- \texttt{c.c.s.liem@tudelft.nl} \\
+ Anonymous Author\thanks{See also: } \\
+ Faculty \\
+ University \\
+ Address \\
+ \texttt{email} \\
}
diff --git a/paper/submission.md b/paper/submission.md
deleted file mode 100644
index 011ee494..00000000
--- a/paper/submission.md
+++ /dev/null
@@ -1,45 +0,0 @@
-
-**Title**: ECCCos from the Black Box: Faithful Explanations through Energy-Constrained Conformal Counterfactuals
-
-**Keywords**: Explainable AI, Counterfactual Explanations, Algorithmic Recourse, Energy-Based Models, Conformal Prediction
-
-**Abstract**: Counterfactual Explanations offer an intuitive and straightforward way to explain black-box models and offer Algorithmic Recourse to individuals. To address the need for plausible explanations, existing work has primarily relied on surrogate models to learn how the input data is distributed. This effectively reallocates the task of learning realistic explanations for the data from the model itself to the surrogate. Consequently, the generated explanations may seem plausible to humans but need not necessarily describe the behaviour of the black-box model faithfully. We formalise this notion of faithfulness through the introduction of a tailored evaluation metric and propose a novel algorithmic framework for generating **E**nergy-**C**onstrained **C**onformal **Co**unterfactuals (ECCCos) that are only as plausible as the model permits. Through extensive empirical studies, we demonstrate that ECCCos reconcile the need for faithfulness and plausibility. In particular, we show that for models with gradient access, it is possible to achieve state-of-the-art performance without the need for surrogate models. To do so, our framework relies solely on properties defining the black-box model itself by leveraging recent advances in Energy-Based Modelling and Conformal Prediction. To our knowledge, this is the first venture in this direction for generating faithful Counterfactual Explanations. Thus, we anticipate that ECCCos can serve as a baseline for future research. We believe that our work opens avenues for researchers and practitioners seeking tools to better distinguish trustworthy from unreliable models.
-
-**Corresponding Author**: p.altmeyer@tudelft.nl
-
-**Revier Nomination**: Arie.vanDeursen@tudelft.nl
-
-**Primary Area**: Interpretability and Explainability
-
-**Claims**: Yes
-
-**Code of Ethics**: Yes
-
-**Broader Impacts**: A narrow focus on generating plausible counterfactuals may lead practitioners and researchers to believe that even a highly vulnerable black-box model has learned plausible data representations. Our work aims to mitigate this.
-
-**Limitations**: Yes
-
-**Theory**: While we do not include any theoretical results in terms of formal proofs, we have approached the topic of Counterfactual Explanations from a new theoretical angle in this work. Where necessary we have clearly stated our assumptions.
-
-**Experiments**: Yes
-
-**Training Details**: Yes
-
-**Error Bars**: Yes
-
-**Compute**: All of our experiments could be run locally on a personal machine. We will provide details regarding training times and compute in the supplementary material.
-
-**Reproducibility**: Yes
-
-**Safeguards**: n/a
-
-**Licenses**: Yes
-
-**Assets**: Yes
-
-**Human Subjects**: n/a
-
-**IRB Approvals**: n/a
-
-**TLDR**: We leverage ideas from Energy-Based Modelling and Conformal Prediction to generate faithful Counterfactual Explanations that can distinguish trustworthy from unreliable models.
-
--
GitLab