-
Notifications
You must be signed in to change notification settings - Fork 0
/
leaderboards.html
209 lines (183 loc) · 9 KB
/
leaderboards.html
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
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
---
layout: page
title: Leaderboards
background: '/img/bg-trojan2023.png'
---
<h2>Leaderboards</h2>
<!-- <label for="dog-names">Choose a dog name:</label>
<select name="dog-names" id="dog-names">
<option value="rigatoni">Rigatoni</option>
<option value="dave">Dave</option>
<option value="pumpernickel">Pumpernickel</option>
<option value="reeses">Reeses</option>
</select> -->
<!-- <label for="leaderboard-names">Select leaderboard:</label>
<form name="change">
<SELECT NAME="options" ONCHANGE="document.getElementById('flexible').src = this.options[this.selectedIndex].value">
<option value="https://script.google.com/macros/s/AKfycbx_iHF_fQSO9XRNEw2tHum7peeyhw-adgLZTovoo59fwUMVi2Rvzh81xQ2QZVmmJ3N5Ng/exec">Detection</option>
<option value="https://script.google.com/macros/s/AKfycbw3M0gxIgtmxfdqfMMeilSST_vPQOad22U07nSH-fjTz5QxSfuJtxccMm9ny_Ni31Q0XQ/exec">Final Round</option>
</SELECT>
</form> -->
<select id="dropdown">
<option value="default">Select Leaderboard</option>
<option value="option1">Trojan Detection Track - Base Model Subtrack</option>
<option value="option2">Trojan Detection Track - Large Model Subtrack</option>
<option value="option3">Red Teaming Track - Base Model Subtrack</option>
<option value="option4">Red Teaming Track - Large Model Subtrack</option>
</select>
<!-- Trojan Base -->
<iframe width=100% id="flexible_trojan_base" frameborder=0 style="visibility: hidden; max-height: 0;" src="https://script.google.com/macros/s/AKfycbzXvrA3LNpCmFVw5atXJOaEOr2RpJmoYmfdaT5Iv8Cs-ZfMT26MMi8cIgYVvj3ITr5ZWQ/exec"></iframe>
<script src="https://kierandixon.com/js/iframeResizer.js"></script>
<script>
window.addEventListener(
'message',
(event) => {
if (event.data === 'gasFrame_trojan_base') {
window.gasFrame = event.source;
iFrameResize({
log: false,
checkOrigin: false
}, '#flexible_trojan_base');
}
},
false
);
</script>
<!-- Trojan Large -->
<iframe width=100% id="flexible_trojan_large" frameborder=0 style="visibility: hidden; max-height: 0;" src="https://script.google.com/macros/s/AKfycbxUG5DUFHMopNd4WY34r-ZO4DFCAJEsiqrqMLEx6d00JJEa2F81rRG3UPo-Ai2PQSNf/exec"></iframe>
<script src="https://kierandixon.com/js/iframeResizer.js"></script>
<script>
window.addEventListener(
'message',
(event) => {
if (event.data === 'gasFrame_trojan_large') {
window.gasFrame = event.source;
iFrameResize({
log: false,
checkOrigin: false
}, '#flexible_trojan_large');
}
},
false
);
</script>
<!-- Red Base -->
<iframe width=100% id="flexible_red_base" frameborder=0 style="visibility: hidden; max-height: 0;" src="https://script.google.com/macros/s/AKfycbxu_HSuX1U7LRRTwN9X8c1c6rUNuqIfHGrbcAjb06WYzRyG6y5HeqI62R2eofimoIAt/exec"></iframe>
<script src="https://kierandixon.com/js/iframeResizer.js"></script>
<script>
window.addEventListener(
'message',
(event) => {
if (event.data === 'gasFrame_red_base') {
window.gasFrame = event.source;
iFrameResize({
log: false,
checkOrigin: false
}, '#flexible_red_base');
}
},
false
);
</script>
<!-- Red Large -->
<iframe width=100% id="flexible_red_large" frameborder=0 style="visibility: hidden; max-height: 0;" src="https://script.google.com/macros/s/AKfycbygPrZLpAcq5UmbuXoGOD8Jt_V9FgMXeMx1U6zO_oeQvp0_KPjF6b5L19lNrgibg4Y/exec"></iframe>
<script src="https://kierandixon.com/js/iframeResizer.js"></script>
<script>
window.addEventListener(
'message',
(event) => {
if (event.data === 'gasFrame_red_large') {
window.gasFrame = event.source;
iFrameResize({
log: false,
checkOrigin: false
}, '#flexible_red_large');
}
},
false
);
</script>
<script>
document.getElementById("dropdown").addEventListener("change", function() {
if (this.value == "option1") {
document.getElementById("flexible_trojan_base").style.visibility = "visible";
document.getElementById("flexible_trojan_base").style.maxHeight = "100%";
document.getElementById("flexible_trojan_large").style.visibility = "hidden";
document.getElementById("flexible_trojan_large").style.maxHeight = "0";
document.getElementById("flexible_red_base").style.visibility = "hidden";
document.getElementById("flexible_red_base").style.maxHeight = "0";
document.getElementById("flexible_red_large").style.visibility = "hidden";
document.getElementById("flexible_red_large").style.maxHeight = "0";
} else if (this.value == "option2") {
document.getElementById("flexible_trojan_base").style.visibility = "hidden";
document.getElementById("flexible_trojan_base").style.maxHeight = "0";
document.getElementById("flexible_trojan_large").style.visibility = "visible";
document.getElementById("flexible_trojan_large").style.maxHeight = "100%";
document.getElementById("flexible_red_base").style.visibility = "hidden";
document.getElementById("flexible_red_base").style.maxHeight = "0";
document.getElementById("flexible_red_large").style.visibility = "hidden";
document.getElementById("flexible_red_large").style.maxHeight = "0";
} else if (this.value == "option3") {
document.getElementById("flexible_trojan_base").style.visibility = "hidden";
document.getElementById("flexible_trojan_base").style.maxHeight = "0";
document.getElementById("flexible_trojan_large").style.visibility = "hidden";
document.getElementById("flexible_trojan_large").style.maxHeight = "0";
document.getElementById("flexible_red_base").style.visibility = "visible";
document.getElementById("flexible_red_base").style.maxHeight = "100%";
document.getElementById("flexible_red_large").style.visibility = "hidden";
document.getElementById("flexible_red_large").style.maxHeight = "0";
} else if (this.value == "option4") {
document.getElementById("flexible_trojan_base").style.visibility = "hidden";
document.getElementById("flexible_trojan_base").style.maxHeight = "0";
document.getElementById("flexible_trojan_large").style.visibility = "hidden";
document.getElementById("flexible_trojan_large").style.maxHeight = "0";
document.getElementById("flexible_red_base").style.visibility = "hidden";
document.getElementById("flexible_red_base").style.maxHeight = "0";
document.getElementById("flexible_red_large").style.visibility = "visible";
document.getElementById("flexible_red_large").style.maxHeight = "100%";
}
});
</script>
<p>Please click the dropdown above to display the final leaderboards. All leaderboard metrics are percentages, and higher is better. The Combined Score metric determines the rankings in the Trojan Detection Track, and the Combined Score (Manual Evaluation) metric determines the rankings in the Red Teaming Track. To view the validation phase leaderboards, please see the <a href="start.html">CodaLab pages</a>.</p>
<p>Note: The Test Phase leaderboards on the Red Teaming Track CodaLab pages show rankings determined by the automated Combined Score metric. This was used to select the top-ten teams for manual evaluation, which determined final rankings. The official final rankings are shown on this page and are determined by the Combined Score (Manual Evaluation) metric.</p>
<p>The winning participants and teams of each track are shown below (team names are shown in parentheses).</p>
<h2>Winning Teams</h2>
<h3>Main Prizes</h3>
<p>Trojan Detection Track - Base Model Subtrack</p>
<ul>
<li>🥇 <b>1st place:</b> zygi (<|endoftext|>)</li>
<li>🥈 <b>2nd place:</b> tianjian10</li>
<li>🥉 <b>3rd place:</b> persistz (RealAI)</li>
</ul>
<p>Trojan Detection Track - Large Model Subtrack</p>
<ul>
<li>🥇 <b>1st place:</b> tianjian10</li>
<li>🥈 <b>2nd place:</b> zygi (<|endoftext|>)</li>
<li>🥉 <b>3rd place:</b> jawadhussein462 (Quantmetry)</li>
</ul>
<p>Red Teaming Track - Base Model Subtrack</p>
<ul>
<li>🥇 <b>1st place:</b> tianjian10</li>
<li>🥈 <b>2nd place:</b> BLG</li>
<li>🥉 <b>3rd place:</b> jiaxiaojunqaq (Renaissance)</li>
</ul>
<p>Red Teaming Track - Large Model Subtrack</p>
<ul>
<li>🥇 <b>1st place:</b> tianjian10</li>
<li>🥈 <b>2nd place:</b> BLG</li>
<li>🥉 <b>3rd place:</b> yjw1029 (alpac4)</li>
</ul>
<p>The first-place teams in each track gave talks in the <a href="workshop.html">competition workshop</a> describing their methods. The recording of the workshop with these talks will be available soon.</p>
<h3>Special Awards</h3>
<p>💸 Most Compute-Efficient</p>
<ul>
<li><b>Trojan Detection Track - Large Model Subtrack</b> persistz</li>
<li><b>Red Teaming Track - Large Model Subtrack</b> antiquality</li>
</ul>
<p>⬛ Best Black-Box Method</p>
<ul>
<li><b>Trojan Detection Track - Base Model Subtrack</b> jawadhussein462 (Quantmetry)</li>
<li><b>Trojan Detection Track - Large Model Subtrack</b> jawadhussein462 (Quantmetry)</li>
<li><b>Red Teaming Track - Base Model Subtrack</b> bbussmann</li>
<li><b>Red Teaming Track - Large Model Subtrack</b> bbussmann</li>
</ul>