File size: 3,887 Bytes
ee50d1d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
{
  "version": "2.0",
  "description": "AI Content Detection - Stacking Meta-Classifier Weights",
  "models": {
    "image": {
      "classifiers": [
        "NYUAD-ComNets/NYUAD_AI-generated_images_detector",
        "Organika/sdxl-detector",
        "umm-maybe/AI-image-detector",
        "dima806/ai_vs_real_image_detection"
      ],
      "meta_classifier": {
        "scaler_mean": [
          0.6074603661000239,
          0.686688522024317,
          0.3849442189093679,
          0.769625436037109,
          -2.7338574212581257,
          2.353111819316856e-05
        ],
        "scaler_scale": [
          0.4283660795399362,
          0.42213362151536316,
          0.26207683401251386,
          0.24410297413117948,
          0.30930081066524256,
          3.9731677371366066e-05
        ],
        "lr_coefficients": [
          1.7135966231796458,
          1.2825863926730567,
          -0.29594309495805504,
          1.300517880868273,
          2.5003933635884863,
          0.5796105924507469
        ],
        "lr_intercept": 7.351305864946982,
        "feature_names": [
          "nyuad_score",
          "sdxl_score",
          "ai_image_score",
          "dima806_score",
          "fft_slope",
          "fft_hf_ratio"
        ],
        "training_samples": 570,
        "accuracy": 0.991
      }
    },
    "audio": {
      "classifiers": [
        "DavidCombei/wav2vec2-xls-r-1b-DeepFake-AI4TRUST",
        "Gustking/wav2vec2-large-xlsr-deepfake-audio-classification"
      ],
      "meta_classifier": {
        "scaler_mean": [
          0.6209166406230846,
          0.09860975675284862,
          0.021718353962836168,
          1924.8187628110218,
          1258.8948959347454,
          0.15988650152081954,
          6620.699833048576
        ],
        "scaler_scale": [
          0.4712932092514088,
          0.03994814349451387,
          0.007767299011189912,
          328.93736914891036,
          327.4988847517819,
          0.047731468459419314,
          266.2532958839088
        ],
        "lr_coefficients": [
          1.809447067482119,
          0.6736835103826301,
          0.42671477059530283,
          0.4348569443039551,
          0.5215924234667307,
          -0.9464732912412551,
          0.44753673298714475
        ],
        "lr_intercept": 1.9856021189388406,
        "feature_names": [
          "davidcombei_score",
          "gustking_score",
          "spectral_flatness",
          "centroid_mean",
          "centroid_std",
          "zcr",
          "rolloff_99"
        ],
        "training_samples": 300,
        "accuracy": 0.82
      }
    },
    "text": {
      "classifiers": [
        "tiiuae/falcon-7b",
        "tiiuae/falcon-7b-instruct",
        "Hello-SimpleAI/chatgpt-detector-roberta"
      ],
      "meta_classifier": {
        "scaler_mean": [
          1.130450439453125,
          0.12016203999519348,
          -0.46647878605266724,
          6.471777786621135,
          0.5225984308983255,
          0.35815911186395905,
          4.67180587427633
        ],
        "scaler_scale": [
          0.10663201835331575,
          0.319080203489424,
          0.1695241896637113,
          0.3085286068821368,
          0.10418367918547129,
          0.11425552726076238,
          0.4851605144906258
        ],
        "lr_coefficients": [
          -1.7326994966116347,
          -0.23487951489322348,
          -1.1207961610247337,
          0.07210147273481866,
          1.197535850075283,
          1.0243602811395163,
          0.5908107658969592
        ],
        "lr_intercept": -0.40390869475088775,
        "feature_names": [
          "binoculars_score",
          "roberta_ai_score",
          "burstiness",
          "entropy",
          "ttr",
          "hapax_ratio",
          "avg_word_len"
        ],
        "training_samples": 80,
        "accuracy": 0.975
      }
    }
  }
}