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• 8b26371dab Final report revisions master Adog64 2024-05-11 21:39:29 -0400
• fd8fa12e75 Finished report and impact statements Adog64 2024-05-08 21:04:06 -0400
• a9fcfe6921 Started IPCS Adog64 2024-05-05 20:02:34 -0400
• 1cfd02843a Finished poster Adog64 2024-05-01 18:34:23 -0400
• 87b6773ab6 Created references pdf Adog64 2024-05-01 18:11:38 -0400
• 3893b3256f Anything to commit? Aidan Sharpe 2024-05-01 14:57:35 -0400
• 7683c9118c Poster exported as PDF Aidan Sharpe 2024-05-01 12:47:58 -0400
• 8e2f04fa09 Edits to definitions in evaluation section Aidan Sharpe 2024-05-01 12:40:54 -0400
• b045bc716e Fixed accuracy equation Aidan Sharpe 2024-05-01 12:14:35 -0400
• 0ba4e489bb Added pseudocode to poster, fixed MNIST results not showing 0 strength Aidan Sharpe 2024-05-01 11:17:42 -0400
• ac1272e123 Added Rowan brand standards as reference Aidan Sharpe 2024-05-01 02:10:28 -0400
• 0e94757c07 Poster basically done, finished organizing directory structure Aidan Sharpe 2024-05-01 02:09:27 -0400
• fd6e4f32a4 More references Aidan Sharpe 2024-05-01 01:34:42 -0400
• 008ef906d7 Directory structure overhaul, poster almost done Aidan Sharpe 2024-05-01 01:26:25 -0400
• bf2440ef86 Results successfully displayed as matplotlib bar3d Aidan Sharpe 2024-04-30 23:02:14 -0400
• b473ddc8e9 Poster very much in the works. Display results working well Adog64 2024-04-29 17:30:57 -0400
• 54ed4466bc Trained VGG16 on CIFAR-10, displayed results Adog64 2024-04-28 11:19:06 -0400
• 2f0a6fc919 No success with adjusting CNN, set up VGG-16 Aidan Sharpe 2024-04-25 14:41:00 -0400
• 6c4723a633 Implemented LeNet for CIFAR-10 Adog64 2024-04-25 11:57:14 -0400
• 343958653e Trained DLA on CIFAR-10 for 14 epochs. Achieved 82% accuracy Adog64 2024-04-25 08:36:38 -0400
• b4a1aee0db Trained CIFAR-10 CNN, 60% accuracy, switching to DLA Adog64 2024-04-24 21:24:48 -0400
• 1f289157e2 Converted old results to JSON format with metadata Aidan Sharpe 2024-04-24 18:12:24 -0400
• 610d8b8678 got data for fgsm mnist, working on displaying it Adog64 2024-04-24 12:16:09 -0400
• 5c911219b9 Debugged code to run in background Adog64 2024-04-23 17:12:30 -0400
• 541a3b0850 Loop over all filters and serialize results Aidan Sharpe 2024-04-23 13:48:33 -0400
• 3c35a2bc02 Finished testing random noise and threshold filter Aidan Sharpe 2024-04-18 15:58:30 -0400
• 35fc6dd2e5 Figure saving with proper size Aidan Sharpe 2024-04-18 13:51:31 -0400
• 04cf5cb9bc Completeted bilateral filter variable radius analysis Adog64 2024-04-16 12:35:35 -0400
• 26758224b7 Tested performance with varying radii for Gaussian and Mean Kuwahara Filter Adog64 2024-04-11 16:56:51 -0400
• 90915efb7e Fixed error with counting correct predictions when using filters Aidan Sharpe 2024-04-11 15:11:32 -0400
• 7430ddac94 Modular filtering tested and working with varying filter strengths Aidan Sharpe 2024-04-11 14:24:48 -0400
• ab4460aeeb Moved filtering functions into separate module Adog64 2024-04-10 20:15:11 -0400
• df7ac8b236 Decreased epsilon step size to 0.025 Aidan Sharpe 2024-04-10 12:23:55 -0400
• 56da2ea4eb Made raw program output easier to read; completed unfinished table of results Aidan Sharpe 2024-04-07 12:08:48 -0400
• 8f264f7958 1-Bit, color snapping, and pluality vote accuracies Aidan Sharpe 2024-04-07 12:04:46 -0400
• 30d8766e69 New implementation of color snapping Aidan Sharpe 2024-04-06 22:31:31 -0400
• afd810a802 Implemented reduced color space (snapped color) filter Aidan Sharpe 2024-04-05 17:18:25 -0400
• 47b14362de Various filters defending unmodified mnist cnn classifier Aidan Sharpe 2024-04-04 15:12:14 -0400
• d0a09e839f Models trained with various filters; kuwahara filter defense Aidan Sharpe 2024-04-04 13:50:35 -0400
• c0372d8e8f Tested models with filtered and unfiltered training data Adog64 2024-03-05 13:31:22 -0500
• b36fd83da4 Moved to separate project on Gitea Adog64 2024-02-22 13:39:09 -0500