dgl-prc / m_testing_adversatial_sample

Related projects ⓘ

Alternatives and complementary repositories for m_testing_adversatial_sample

• Testing4AI / RobOT
  Code release for RobOT (ICSE'21)
  ☆15Updated last year
• yuanchun-li / ModelDiff
  ☆17Updated 3 years ago
• deepgini / deepgini
  ☆18Updated 5 years ago
• Megum1 / BEAGLE
  [NDSS'23] BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense
  ☆14Updated 6 months ago
• Testing4AI / DeepJudge
  Code release for DeepJudge (S&P'22)
  ☆51Updated last year
• DeepImportance / deepimportance_code_release
  ☆24Updated 3 years ago
• naiyeleo / ABS
  ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation
  ☆47Updated 2 years ago
• ashafahi / inceptionv3-transferLearn-poison
  Attacking a dog vs fish classification that uses transfer learning inceptionV3
  ☆68Updated 6 years ago
• jinyuan-jia / BadEncoder
  ☆76Updated 3 years ago
• garrisongys / STRIP
  This is for releasing the source code of the ACSAC paper "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"
  ☆49Updated last week
• AI-secure / Meta-Nerual-Trojan-Detection
  ☆62Updated 4 years ago
• alps-lab / Trojan-Zoo
  TrojanZoo is a universal pytorch platform for conducting security researches (especially for backdoor attacks/defenses) for image classif…
  ☆17Updated 3 years ago
• Lyz1213 / Backdoored_PPLM
  ☆14Updated 11 months ago
• ZQ-Struggle / AdvDoor
  AdvDoor: Adversarial Backdoor Attack of Deep Learning System
  ☆30Updated 2 weeks ago
• longph1989 / Socrates
  ☆26Updated last year
• Trevillie / MagNet
  MagNet: a Two-Pronged Defense against Adversarial Examples
  ☆95Updated 6 years ago
• kangliucn / Fine-pruning-defense
  Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)
  ☆46Updated 6 years ago
• AdelaideAuto-IDLab / Februus
  Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems
  ☆24Updated 3 years ago
• PurduePAML / Machine-Learning-Security-Seminar
  Machine Learning & Security Seminar @Purdue University
  ☆25Updated last year
• Huiying-Li / blacklight
  ☆16Updated 2 years ago
• coinse / sadl
  Code release of a paper "Guiding Deep Learning System Testing using Surprise Adequacy"
  ☆46Updated 2 years ago
• Megum1 / DFST
  [AAAI'21] Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification
  ☆28Updated 5 months ago
• KaiyuanZh / OrthogLinearBackdoor
  [IEEE S&P 2024] Exploring the Orthogonality and Linearity of Backdoor Attacks
  ☆18Updated last month
• Megum1 / ODSCAN
  [IEEE S&P'24] ODSCAN: Backdoor Scanning for Object Detection Models
  ☆11Updated 5 months ago
• nthu-datalab / On.the.Trade-off.between.Adversarial.and.Backdoor.Robustness
  Code for "On the Trade-off between Adversarial and Backdoor Robustness" (NIPS 2020)
  ☆16Updated 4 years ago
• Gwinhen / PixelBackdoor
  This is the implementation for CVPR 2022 Oral paper "Better Trigger Inversion Optimization in Backdoor Scanning."
  ☆24Updated 2 years ago
• Lizn-zn / DNNOpAcc
  ☆9Updated last year
• inspire-group / PatchCleanser
  Code for "PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier"
  ☆35Updated last year
• Jianbo-Lab / ML-LOO
  ☆13Updated 4 years ago
• pxzhang94 / ADF
  White-box Fairness Testing through Adversarial Sampling
  ☆12Updated 3 years ago