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Yuhao Zhang's Projects

a3t icon a3t

This repository contains the implementation and the evaluation of our ICML 2020 paper: Robustness to Programmable String Transformations via Augmented Abstract Training.

alpha-beta-crown icon alpha-beta-crown

alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021 and 2022)

angora icon angora

Angora is a mutation-based fuzzer. The main goal of Angora is to increase branch coverage by solving path constraints without symbolic execution.

auto_lirpa icon auto_lirpa

auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs

averloc icon averloc

Repository for the Adversarial ML on Code things

c3po icon c3po

Code for the paper "A Structural Model for Contextual Code Changes"

ccf-deadlines icon ccf-deadlines

⏰ CCF recommendation conference Deadline Countdowns / Please star this project, thanks~

certified_lstms icon certified_lstms

This repository contains the implementation and evaluation of our EMNLP 2021 paper: Certified Robustness to Programmable Transformations in LSTMs.

code2seq icon code2seq

Code for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code"

contraclm icon contraclm

[ACL 2023] Code for ContraCLM: Contrastive Learning For Causal Language Model

convex_adversarial icon convex_adversarial

A method for training neural networks that are provably robust to adversarial attacks.

debar icon debar

This repository contains the implementation and the evaluation of our ESEC/FSE 2020 paper: Detecting Numerical Bugs in Neural Network Architectures.

defend_framework icon defend_framework

This repository contains the implementation and evaluation of our Neurips 2022 paper: BagFlip: A Certified Defense Against Data Poisoning.

diffai icon diffai

A certifiable defense against adversarial examples by training neural networks to be provably robust

dl2 icon dl2

DL2 is a framework that allows training neural networks with logical constraints over numerical values in the network (e.g. inputs, outputs, weights) and to query networks for inputs fulfilling a logical formula.

docs icon docs

TensorFlow documentation

eran icon eran

ETH Robustness Analyzer for Deep Neural Networks

finpie icon finpie

Simple library to download some financial data.

human-eval icon human-eval

Code for the paper "Evaluating Large Language Models Trained on Code"

interval-bound-propagation icon interval-bound-propagation

This repository contains a simple implementation of Interval Bound Propagation (IBP) using TensorFlow: https://arxiv.org/abs/1810.12715

malwarebackdoors icon malwarebackdoors

Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers

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