Theory
1,949 items in 14 lists
-
“Why Should I Trust You?”Explaining the Predictions of Any Classifier arxiv.org
(arXiv) (Code) Explains a blackbox classifier model by sampling around data instances.
-
P2NIA: Privacy-Preserving Non-Iterative Auditing arxiv.org
(ECAI) Proposes a mutually beneficial collaboration for both the auditor and the platform: a privacy-preserving and non-iterative audit scheme that enhances fairness assessments using synthetic or local data, avoiding the challenges associated with traditional API-based audits.
-
CALM: Curiosity-Driven Auditing for Large Language Models arxiv.org
(AAAI) Auditing as a black-box optimization problem where the goal is to automatically uncover input-output pairs of the target LLMs that exhibit illegal, immoral, or unsafe behaviors.
-
Queries, Representation & Detection: The Next 100 Model Fingerprinting Schemes arxiv.org
(AAAI) Divides model fingerprinting into three core components, to identify ∼100 previously unexplored combinations of these and gain insights into their performance.
-
LLMs hallucinate graphs too: a structural perspective arxiv.org
(complex networks) Queries LLMs for known graphs and studies topological hallucinations. Proposes a structural hallucination rank.
-
Auditing Local Explanations is Hard arxiv.org
(NeurIPS) Gives the (prohibitive) query complexity of auditing explanations.
-
Setting the Record Straighter on Shadow Banning arxiv.org
(INFOCOM) (Code) Considers the possibility of shadow banning in Twitter (ie, the moderation black-box algorithm), and measures the probability of several hypothesis.
-
Adversarial Model Extraction on Graph Neural Networks arxiv.org
(AAAI Workshop on Deep Learning on Graphs: Methodologies and Applications) Introduces GNN model extraction and presents a preliminary approach for this.
-
TamperNN: Efficient Tampering Detection of Deployed Neural Nets arxiv.org
(ISSRE) Algorithms to craft inputs that can detect the tampering with a remotely executed classifier model.
-
Knockoff Nets: Stealing Functionality of Black-Box Models arxiv.org
(CVPR) Ask to what extent can an adversary steal functionality of such "victim" models based solely on blackbox interactions: image in, predictions out.
-
Copycat CNN: Stealing Knowledge by Persuading Confession with Random Non-Labeled Data arxiv.org
(IJCNN) (Code) Stealing black-box models (CNNs) knowledge by querying them with random natural images (ImageNet and Microsoft-COCO).
-
Adversarial Frontier Stitching for Remote Neural Network Watermarking arxiv.org
(Neural Computing and Applications) (Alternative implementation) Check if a remote machine learning model is a "leaked" one: through standard API requests to a remote model, extract (or not) a zero-bit watermark, that was inserted to watermark valuable models (eg, large deep…
-
Towards Reverse-Engineering Black-Box Neural Networks arxiv.org
(ICLR) (Code) Infer inner hyperparameters (eg number of layers, non-linear activation type) of a remote neural network model by analysing its response patterns to certain inputs.
-
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR arxiv.org
(Harvard Journal of Law & Technology) To explain a decision on x, find a conterfactual: the closest point to x that changes the decision.
-
Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation arxiv.org
(AIES) Treats black box models as teachers, training transparent student models to mimic the risk scores assigned by black-box models.
-
The topological face of recommendation: models and application to bias detection arxiv.org
(Complex Networks) Proposes a bias detection framework for items recommended to users.
-
Auditing Black-Box Models for Indirect Influence arxiv.org
(ICDM) Evaluate the influence of a variable on a black-box model by "cleverly" removing it from the dataset and looking at the accuracy gap
-
Certifying and Removing Disparate Impact arxiv.org
(SIGKDD) Proposes SVM-based methods to certify absence of bias and methods to remove biases from a dataset.
-
Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems andrew.cmu.edu
(IEEE S&P) Evaluate the individual, joint and marginal influence of features on a model using shapley values.
-
Stanford Complexity Group youtube.com
YouTube channel with videos from the group's events.
-
Boccara, N. (2014). Modeling complex systems. Springer-Verlag New York. worldcat.org
An overview of important mathematical models of complex systems.
-
Newman, M. E. J. (2010). Networks: an introduction. Oxford; New York: Oxford University Press. worldcat.org
A comprehensive introduction to network science.
-
Gros, C. (2015). Complex and adaptive dynamical systems: a primer. Cham: Springer. worldcat.org
Technical and accessible introduction to a number of important concepts in complex systems science.
-
Nicolis, G., Basios, V., & (Firm), W. S. (2015). Chaos, information processing and paradoxical games: the legacy of… worldcat.org
An edited volume of studies honoring the legacy of John Nicolis contribution to complex systems.
-
Mitchell, S. D. (2013). Unsimple truths: science, complexity, and policy. Chicago: Univ. of Chicago Press. worldcat.org
The book introduces the perspective of integrative puralism as a way of understanding and studying the world.
-
Barrat, A., Barthelemy, M., & Vespignani, A. (2013). Dynamical processes on complex networks. Cambridge: Cambridge… worldcat.org
Dynamic models on complex networks.
-
The book introduces in an accessible way the influence of concepts such as self-organization and the edge of chaos.
-
Maturana, H. R., & Varela, F. J. (2008). The tree of knowledge: the biological roots of human understanding. Boston… worldcat.org
The book is an exposition of the non-representational vew of knowledge.
-
Mandelbrot, B. (2006). The fractal geometry of nature. New York: W.H. Freeman and Company. worldcat.org
Beautiful introduction to the world of fractals.
-
Scheffer, M. (2009). Critical transitions in nature and society. Princeton, N.J: Princeton University Press. worldcat.org
A nicely written and accessible description of the critical transition and related concepts.
-
Wiener, N. (2016). Cybernetics or control and communication in the animal and the machine. worldcat.org
The book introduced the term cybernetics to describe a self-regulation mechanism.
-
Downey, A. (2012). Think complexity. Needham, Massachusetts: Green Tea Press. worldcat.org
A hands-on approach exploring complex systems models with Python.
-
The Vermont Complex Systems Center vermontcomplexsystems.org
Research and educational center (University of Vermont).
-
Ventity/Vensim ventanasystems.com
Simulation software.
-
Waterloo Institute for Complexity & Innovation (WICI) uwaterloo.ca
Research center (University of Waterloo).
-
The Systems Thinker thesystemsthinker.com
Articles with a systems perspective on various topics.
-
Swarm swarm.org
A platform for agent-based models written in Objective-C, models are coded in Java or Objective-C.
-
Simulus simulus.readthedocs.io
ABM library in Python.
-
Santa Fe Institute santafe.edu
Independent research and education center.
-
Repast repast.github.io
Agent-based modeling and simulation platforms, models coded in C++ and Java.
-
Craig Reynolds' Boids page red3d.com
The creator's webpage with lots of links to multiple implementations.
-
New England Complex Systems Institute (NECSI) necsi.edu
Independent academic research and educational institution.
-
Institut rhônalpin des systèmes complexes - IXXI ixxi.fr
Research center (ENS Lyon).
-
Stella iseesystems.com
Modelling and interactive simulations.
-
Institut des Systèmes Complexes - Paris Ile-de-France (ISC-PIF) iscpif.fr
An inter-institutional organization (CNRS unit) on complex systems research.
-
Complexity hindawi.com
Cross-disciplinary journal about complex adaptive systems (open access).
-
golly golly.sourceforge.net
State-of-the-art simulator.
-
Fractal forums fractalforums.org
Forum and discussion community about fractals.
-
Simulation en.wikipedia.org
Imitation of the operation of a real-world process or system.
-
Self-Organization en.wikipedia.org
The process where form arises from local interactions between parts of an initially disordered system.
- next page of items loading…
