Raytsang123

3d-adv-pc

Generating 3D Adversarial Point Clouds

adv-patch-paper-list

A paper list for localized adversarial patch research

adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

AI-Security-and-Privacy-Events

A curated list of workshops and tutorials on AI Security & Privacy

awesome-3D-point-cloud-attacks

List of state of the art papers, code, and other resources

backdoor-learning-resources

A curated list of backdoor learning resources

c-programming

PLMpapers

Must-read Papers on pre-trained language models.

text-to-text-transfer-transformer

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

TextFooler

A Model for Natural Language Attack on Text Classification and Inference

Raytsang123/text-to-text-transfer-transformer

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

Raytsang123/TextFooler

A Model for Natural Language Attack on Text Classification and Inference

Raytsang123/adv-patch-paper-list

A paper list for localized adversarial patch research

Raytsang123/adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

Raytsang123/AI-Security-and-Privacy-Events

A curated list of workshops and tutorials on AI Security & Privacy

Raytsang123/awesome-ai-agents

A list of AI autonomous agents

Raytsang123/Awesome-Dataset-Distillation

Awesome Dataset Distillation Papers

Raytsang123/Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models and Score-based Models, a darkhorse in the field of Generative Models

Raytsang123/awesome-phd-advice

Collection of advice for prospective and current PhD students

Raytsang123/Black-Box-Tuning

Source code for paper "Black-Box Tuning for Language-Model-as-a-Service"

Raytsang123/DART

Code for the ICLR2022 paper "Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners"

Raytsang123/DeepHash-pytorch

Implementation of Some Deep Hash Algorithms, Including DPSH、DSH、DHN、HashNet、DSDH、DTSH、DFH、GreedyHash、CSQ.

Raytsang123/DL-based-Android-Malware-Defenses-review

Papers, code and datasets about deep learning for Android malware defenses and malware detection

Raytsang123/graph-adversarial-learning-literature

A curated list of adversarial attacks and defenses papers on graph-structured data.

Raytsang123/LMaaS-Papers

Awesome papers on Language-Model-as-a-Service (LMaaS)

Raytsang123/machine_unlearning

Existing Literature about Machine Unlearning

Raytsang123/MOTH

This is the implementation for IEEE S&P 2022 paper "Model Orthogonalization: Class Distance Hardening in Neural Networks for Better Security."

Raytsang123/neural-tangents

Fast and Easy Infinite Neural Networks in Python

Raytsang123/NLP_Backdoor

Hidden backdoor attack on NLP systems

Raytsang123/PICCOLO

Raytsang123/PLMPapers-1

A paper list of pre-trained language models (PLMs).

Raytsang123/PromptPapers

Must-read papers on prompt-based tuning for pre-trained language models.

Raytsang123/propaganda_as_a_service

Code for paper: "Spinning Language Models for Propaganda-As-A-Service"

Raytsang123/RAP

Code for the paper "RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models" (EMNLP 2021)

Raytsang123/Robust-Prefix-Tuning

code for the ICLR'22 paper: On Robust Prefix-Tuning for Text Classification

Raytsang123/Robustness-Against-Backdoor-Attacks

RAB: Provable Robustness Against Backdoor Attacks

Raytsang123/semantic-randomized-smoothing

Semantic Randomized Smoothing

Raytsang123/SuperGen

Generating Training Data with Language Models: Towards Zero-Shot Language Understanding

Raytsang123/transformers

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.

Raytsang123/trojanzoo

TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classification in deep learning.