research
∙
08/24/2023
Prediction without Preclusion: Recourse Verification with Reachable Sets
Machine learning models are often used to decide who will receive a loan...
share
research
∙
04/26/2023
Concept-Monitor: Understanding DNN training through individual neurons
In this work, we propose a general framework called Concept-Monitor to h...
research
∙
04/12/2023
Label-Free Concept Bottleneck Models
Concept bottleneck models (CBM) are a popular way of creating more inter...
research
∙
04/02/2023
Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies
Transformations based on domain expertise (expert transformations), such...
research
∙
02/11/2023
ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction
Deep neural networks (DNN) have shown great capacity of modeling a dynam...
research
∙
01/26/2023
Certified Interpretability Robustness for Class Activation Mapping
Interpreting machine learning models is challenging but crucial for ensu...
research
∙
10/20/2022
Learning Sample Reweighting for Accuracy and Adversarial Robustness
There has been great interest in enhancing the robustness of neural netw...
research
∙
07/28/2022
Quantifying Safety of Learning-based Self-Driving Control Using Almost-Barrier Functions
Path-tracking control of self-driving vehicles can benefit from deep lea...
research
∙
04/23/2022
CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks
In this paper, we propose CLIP-Dissect, a new technique to automatically...
research
∙
02/07/2022
Evaluating Robustness of Cooperative MARL: A Model-based Approach
In recent years, a proliferation of methods were developed for cooperati...
research
∙
11/11/2021
On the Equivalence between Neural Network and Support Vector Machine
Recent research shows that the dynamics of an infinitely wide neural net...
research
∙
02/20/2021
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning
Model-agnostic meta-learning (MAML) has emerged as one of the most succe...
research
∙
02/01/2021
Fast Training of Provably Robust Neural Networks by SingleProp
Recent works have developed several methods of defending neural networks...
research
∙
10/13/2020
Higher-Order Certification for Randomized Smoothing
Randomized smoothing is a recently proposed defense against adversarial ...
research
∙
08/05/2020
Robust Deep Reinforcement Learning through Adversarial Loss
Deep neural networks, including reinforcement learning agents, have been...
research
∙
08/18/2019
Verification of Neural Network Control Policy Under Persistent Adversarial Perturbation
Deep neural networks are known to be fragile to small adversarial pertur...
research
∙
06/10/2019
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective
Graph neural networks (GNNs) which apply the deep neural networks to gra...
research
∙
05/17/2019
POPQORN: Quantifying Robustness of Recurrent Neural Networks
The vulnerability to adversarial attacks has been a critical issue for d...
research
∙
01/22/2019
Optimal Finite-Sum Smooth Non-Convex Optimization with SARAH
The total complexity (measured as the total number of gradient computati...
research
∙
12/18/2018
PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach
With deep neural networks providing state-of-the-art machine learning mo...
research
∙
11/29/2018
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks
Verifying robustness of neural network classifiers has attracted great i...
research
∙
11/02/2018
Efficient Neural Network Robustness Certification with General Activation Functions
Finding minimum distortion of adversarial examples and thus certifying r...
research
∙
10/19/2018
On Extensions of CLEVER: A Neural Network Robustness Evaluation Algorithm
CLEVER (Cross-Lipschitz Extreme Value for nEtwork Robustness) is an Extr...
research
∙
04/25/2018
Towards Fast Computation of Certified Robustness for ReLU Networks
Verifying the robustness property of a general Rectified Linear Unit (Re...
research
∙
01/31/2018
