Pinned Repositories
capc-iclr
CaPC is a method that enables collaborating parties to improve their own local heterogeneous machine learning models in a setting where both confidentiality and privacy need to be preserved to prevent explicit and implicit sharing of private data.
cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
dataset-inference
[ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning
DeCaPH
entangled-watermark
machine-unlearning
model-extraction-iclr
Proof-of-Learning
unrolling-sgd
code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22
verifiable-unlearning
CleverHans Lab's Repositories
cleverhans-lab/cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
cleverhans-lab/machine-unlearning
cleverhans-lab/Proof-of-Learning
cleverhans-lab/entangled-watermark
cleverhans-lab/dataset-inference
[ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning
cleverhans-lab/capc-iclr
CaPC is a method that enables collaborating parties to improve their own local heterogeneous machine learning models in a setting where both confidentiality and privacy need to be preserved to prevent explicit and implicit sharing of private data.
cleverhans-lab/unrolling-sgd
code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22
cleverhans-lab/verifiable-unlearning
cleverhans-lab/model-extraction-iclr
cleverhans-lab/DeCaPH
cleverhans-lab/Zest-Model-Distance
cleverhans-lab/DatasetInferenceForSelfSupervisedModels
cleverhans-lab/deepfake_attribution
cleverhans-lab/ssl-attacks-defenses
On the Difficulty of Defending Self-Supervised Learning against Model Extraction
cleverhans-lab/capc-demo
capc-demo
cleverhans-lab/FRAUD-Detect
Official implementation of Washing The Unwashable : On The (Im)possibility of Fairwashing Detection, NeurIPS 2022
cleverhans-lab/Gradients-Look-Alike-Sensitivity-is-Often-Overestimated-in-DP-SGD
cleverhans-lab/huggingface-transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
cleverhans-lab/FairFeedbackLoops
cleverhans-lab/Forging
cleverhans-lab/monte-carlo-adv
cleverhans-lab/private-multi-winner-voting
New privacy-preserving mechanisms for multi-label classification.
cleverhans-lab/PrivatePrompts
Code for the differential learning algorithms for soft and discrete prompts.
cleverhans-lab/Confidential-PROFITT
cleverhans-lab/capc-privacy
CaPC with privacy only and without private inference.
cleverhans-lab/impartiality_viz
cleverhans-lab/ml_reg_games
cleverhans-lab/practical-attacks-against-pol
cleverhans-lab/SAT-selective-cls
Self-Adaptive Traning for Selective Classification.
cleverhans-lab/sc-nntd