Alternatives and similar repositories for NUS-QE

Users that are interested in NUS-QE are comparing it to the libraries listed below

• AI-secure / VeriGauge
  A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]
  ☆89Updated 2 years ago
• csfaculty / csfaculty.github.io
  Interview questions for Computer Science faculty jobs
  ☆40Updated last year
• zbh2047 / L_inf-dist-net
  [ICML 2021] This is the official github repo for training L_inf dist nets with high certified accuracy.
  ☆42Updated 3 years ago
• RuntianZ / macer
  MACER: MAximizing CErtified Radius (ICLR 2020)
  ☆29Updated 5 years ago
• locuslab / robust_overfitting
  ☆157Updated 4 years ago
• shizhouxing / Robustness-Verification-for-Transformers
  [ICLR 2020] Code for paper "Robustness Verification for Transformers"
  ☆27Updated 5 months ago
• shizhouxing / Fast-Certified-Robust-Training
  [NeurIPS 2021] Fast Certified Robust Training with Short Warmup
  ☆24Updated last year
• AI-secure / Certified-Robustness-SoK-Oldver
  This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on …
  ☆99Updated 2 years ago
• P2333 / SCORE
  A Self-Consistent Robust Error (ICML 2022)
  ☆67Updated last year
• AI-secure / semantic-randomized-smoothing
  [CCS 2021] TSS: Transformation-specific smoothing for robustness certification
  ☆25Updated last year
• nblt / DLDR
  [TPAMI 2023] Low Dimensional Landscape Hypothesis is True: DNNs can be Trained in Tiny Subspaces
  ☆40Updated 2 years ago
• ICLR / Master-Template
  Template and style files for ICLR
  ☆188Updated 9 months ago
• Unispac / shallow-vs-deep-alignment
  Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep
  ☆119Updated 3 weeks ago
• BrachioLab / adversarial_prompting
  ☆53Updated last year
• SolidShen / RIPPLE_official
  ☆20Updated last year
• tding1 / Neural-Collapse
  [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features
  ☆56Updated 2 years ago
• Kaffaljidhmah2 / Arxiv-Recommender
  ☆52Updated last year
• Antimony5292 / FairNeuron
  ☆11Updated 2 years ago
• singlasahil14 / salient_imagenet
  Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?
  ☆40Updated 2 years ago
• huanzhang12 / CROWN-IBP
  Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTor…
  ☆95Updated 3 years ago
• uclaml / RayS
  RayS: A Ray Searching Method for Hard-label Adversarial Attack (KDD2020)
  ☆56Updated 4 years ago
• nsfzyzz / loss_landscape_taxonomy
  [NeurIPS 2021] code for "Taxonomizing local versus global structure in neural network loss landscapes" https://arxiv.org/abs/2107.11228
  ☆19Updated 3 years ago
• hlzhang109 / impossibility-watermark
  [ICML 2024] Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models
  ☆22Updated 8 months ago
• Jethro85 / Paper-Review
  This is for the papers I review every week
  ☆15Updated 4 years ago
• klasleino / gloro
  Library for training globally-robust neural networks.
  ☆28Updated last year
• inspire-group / DP-RandP
  [NeurIPS 2023] Differentially Private Image Classification by Learning Priors from Random Processes
  ☆12Updated last year
• P2333 / Adaptive-Diversity-Promoting
  Adversarial Defense for Ensemble Models (ICML 2019)
  ☆61Updated 4 years ago
• Better-Call-Octagon / 22-fall-gre-ddl
  ☆26Updated 3 years ago
• xu-ji / information-bottleneck
  Deep Learning & Information Bottleneck
  ☆60Updated last year
• locuslab / edge-of-stability
  ☆67Updated 5 months ago